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All publications in 2012
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Cardinality Restricted Boltzmann Machines
Kevin Swersky, Ilya Sutskever, Daniel Tarlow, Richard S. Zemel, Ruslan Salakhutdinov and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Confusion-Based Online Learning and a Passive-Aggressive Scheme
Liva Ralaivola
Advances in Neural Information Processing Systems 25, 2012


Risk-Aversion in Multi-armed Bandits
Amir Sani, Alessandro Lazaric and Rémi Munos
Advances in Neural Information Processing Systems 25, 2012


Interpreting prediction markets: a stochastic approach
Rafael M. Frongillo, Nicolas D. Penna and Mark D. Reid
Advances in Neural Information Processing Systems 25, 2012


Tight Bounds on Profile Redundancy and Distinguishability
Jayadev Acharya, Hirakendu Das and Alon Orlitsky
Advances in Neural Information Processing Systems 25, 2012


Trajectory-Based Short-Sighted Probabilistic Planning
Felipe Trevizan and Manuela Veloso
Advances in Neural Information Processing Systems 25, 2012


Discriminative Learning of Sum-Product Networks
Robert Gens and Pedro Domingos
Advances in Neural Information Processing Systems 25, 2012


Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew Der and Lawrence K. Saul
Advances in Neural Information Processing Systems 25, 2012


On the Sample Complexity of Robust PCA
Matthew Coudron and Gilad Lerman
Advances in Neural Information Processing Systems 25, 2012


Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
Victor Gabillon, Mohammad Ghavamzadeh and Alessandro Lazaric
Advances in Neural Information Processing Systems 25, 2012


Deep Learning of Invariant Features via Simulated Fixations in Video
Will Zou, Shenghuo Zhu, Kai Yu and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang, Zoubin Ghahramani, Amos J. Storkey and Charles A. Sutton
Advances in Neural Information Processing Systems 25, 2012


Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar and Hal Daume
Advances in Neural Information Processing Systems 25, 2012


Entropy Estimations Using Correlated Symmetric Stable Random Projections
Ping Li and Cun-hui Zhang
Advances in Neural Information Processing Systems 25, 2012


A latent factor model for highly multi-relational data
Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes and Guillaume R. Obozinski
Advances in Neural Information Processing Systems 25, 2012


Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
Ke Jiang, Brian Kulis and Michael I. Jordan
Advances in Neural Information Processing Systems 25, 2012


Imitation Learning by Coaching
He He, Jason Eisner and Hal Daume
Advances in Neural Information Processing Systems 25, 2012


Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression
Emtiyaz Khan, Shakir Mohamed and Kevin P. Murphy
Advances in Neural Information Processing Systems 25, 2012


Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds
Teodor M. Moldovan and Pieter Abbeel
Advances in Neural Information Processing Systems 25, 2012


Unsupervised Template Learning for Fine-Grained Object Recognition
Shulin Yang, Liefeng Bo, Jue Wang and Linda G. Shapiro
Advances in Neural Information Processing Systems 25, 2012


One Permutation Hashing
Ping Li, Art Owen and Cun-hui Zhang
Advances in Neural Information Processing Systems 25, 2012


Efficient and direct estimation of a neural subunit model for sensory coding
Brett Vintch, Andrew Zaharia, J. A. Movshon and Eero P. Simoncelli
Advances in Neural Information Processing Systems 25, 2012


Probabilistic Event Cascades for Alzheimer's disease
Jonathan Huang and Daniel Alexander
Advances in Neural Information Processing Systems 25, 2012


Locating Changes in Highly Dependent Data with Unknown Number of Change Points
Azadeh Khaleghi and Daniil Ryabko
Advances in Neural Information Processing Systems 25, 2012


Learning with Partially Absorbing Random Walks
Xiao-ming Wu, Zhenguo Li, Anthony M. So, John Wright and Shih-fu Chang
Advances in Neural Information Processing Systems 25, 2012


Cost-Sensitive Exploration in Bayesian Reinforcement Learning
Dongho Kim, Kee-eung Kim and Pascal Poupart
Advances in Neural Information Processing Systems 25, 2012


Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck, Alexandre Pouget and Katherine A. Heller
Advances in Neural Information Processing Systems 25, 2012


Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow, Richard S. Zemel and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Human memory search as a random walk in a semantic network
Joseph L. Austerweil, Joshua T. Abbott and Thomas L. Griffiths
Advances in Neural Information Processing Systems 25, 2012


Hierarchical spike coding of sound
Yan Karklin, Chaitanya Ekanadham and Eero P. Simoncelli
Advances in Neural Information Processing Systems 25, 2012


Projection Retrieval for Classification
Madalina Fiterau and Artur Dubrawski
Advances in Neural Information Processing Systems 25, 2012


Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
Ofer Meshi, Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 25, 2012


A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro Ortega, Jordi Grau-moya, Tim Genewein, David Balduzzi and Daniel Braun
Advances in Neural Information Processing Systems 25, 2012


Priors for Diversity in Generative Latent Variable Models
James T. Kwok and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


A nonparametric variable clustering model
Konstantina Palla, Zoubin Ghahramani and David A. Knowles
Advances in Neural Information Processing Systems 25, 2012


Fusion with Diffusion for Robust Visual Tracking
Yu Zhou, Xiang Bai, Wenyu Liu and Longin J. Latecki
Advances in Neural Information Processing Systems 25, 2012


The Time-Marginalized Coalescent Prior for Hierarchical Clustering
Levi Boyles and Max Welling
Advances in Neural Information Processing Systems 25, 2012


Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach
Dijun Luo, Heng Huang, Feiping Nie and Chris H. Ding
Advances in Neural Information Processing Systems 25, 2012


Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Minimizing Uncertainty in Pipelines
Nilesh Dalvi, Aditya Parameswaran and Vibhor Rastogi
Advances in Neural Information Processing Systems 25, 2012


Submodular-Bregman and the Lova _sz-Bregman Divergences with Applications
Rishabh Iyer and Jeff A. Bilmes
Advances in Neural Information Processing Systems 25, 2012


Distributed Probabilistic Learning for Camera Networks with Missing Data
Sejong Yoon and Vladimir Pavlovic
Advances in Neural Information Processing Systems 25, 2012


Controlled Recognition Bounds for Visual Learning and Exploration
Vasiliy Karasev, Alessandro Chiuso and Stefano Soatto
Advances in Neural Information Processing Systems 25, 2012


Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


Bayesian Pedigree Analysis using Measure Factorization
Bonnie Kirkpatrick and Alexandre Bouchard-côté
Advances in Neural Information Processing Systems 25, 2012


Fast Variational Inference in the Conjugate Exponential Family
James Hensman, Magnus Rattray and Neil D. Lawrence
Advances in Neural Information Processing Systems 25, 2012


Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead and Mátyás A. Sustik
Advances in Neural Information Processing Systems 25, 2012


Online Sum-Product Computation Over Trees
Mark Herbster, Stephen Pasteris and Fabio Vitale
Advances in Neural Information Processing Systems 25, 2012


Gradient Weights help Nonparametric Regressors
Samory Kpotufe and Abdeslam Boularias
Advances in Neural Information Processing Systems 25, 2012


Scalable imputation of genetic data with a discrete fragmentation-coagulation process
Lloyd Elliott and Yee W. Teh
Advances in Neural Information Processing Systems 25, 2012


Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, Luca M. Gambardella and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 25, 2012


Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stephane Gaiffas and Nicolas Vayatis
Advances in Neural Information Processing Systems 25, 2012


Learning with Recursive Perceptual Representations
Oriol Vinyals, Yangqing Jia, Li Deng and Trevor Darrell
Advances in Neural Information Processing Systems 25, 2012


Learning Label Trees for Probabilistic Modelling of Implicit Feedback
Andriy Mnih and Yee W. Teh
Advances in Neural Information Processing Systems 25, 2012


Topic-Partitioned Multinetwork Embeddings
Peter Krafft, Juston Moore, Bruce Desmarais and Hanna M. Wallach
Advances in Neural Information Processing Systems 25, 2012


FastEx: Hash Clustering with Exponential Families
Amr Ahmed, Sujith Ravi, Alex J. Smola and Shravan M. Narayanamurthy
Advances in Neural Information Processing Systems 25, 2012


Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco and Jean-jeacques Slotine
Advances in Neural Information Processing Systems 25, 2012


Learning Networks of Heterogeneous Influence
Nan Du, Le Song, Ming Yuan and Alex J. Smola
Advances in Neural Information Processing Systems 25, 2012


Perceptron Learning of SAT
Alex Flint and Matthew Blaschko
Advances in Neural Information Processing Systems 25, 2012


Density Propagation and Improved Bounds on the Partition Function
Stefano Ermon, Ashish Sabharwal, Bart Selman and Carla P. Gomes
Advances in Neural Information Processing Systems 25, 2012


How They Vote: Issue-Adjusted Models of Legislative Behavior
Sean Gerrish and David M. Blei
Advances in Neural Information Processing Systems 25, 2012


Probabilistic Low-Rank Subspace Clustering
S. D. Babacan, Shinichi Nakajima and Minh Do
Advances in Neural Information Processing Systems 25, 2012


Near-Optimal MAP Inference for Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza and Ben Taskar
Advances in Neural Information Processing Systems 25, 2012


Entangled Monte Carlo
Seong-hwan Jun, Liangliang Wang and Alexandre Bouchard-côté
Advances in Neural Information Processing Systems 25, 2012


A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
Thomas Furmston and David Barber
Advances in Neural Information Processing Systems 25, 2012


A Neural Autoregressive Topic Model
Hugo Larochelle and Stanislas Lauly
Advances in Neural Information Processing Systems 25, 2012


Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes
Michael Bryant and Erik B. Sudderth
Advances in Neural Information Processing Systems 25, 2012


"Burn-in, bias, and the rationality of anchoring"
Falk Lieder, Noah Goodman and Thomas L. Griffiths
Advances in Neural Information Processing Systems 25, 2012


Emergence of Object-Selective Features in Unsupervised Feature Learning
Adam Coates, Andrej Karpathy and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Query Complexity of Derivative-Free Optimization
Ben Recht, Kevin G. Jamieson and Robert Nowak
Advances in Neural Information Processing Systems 25, 2012


A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas L. Roux, Mark Schmidt and Francis R. Bach
Advances in Neural Information Processing Systems 25, 2012


Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen Bach, Matthias Broecheler, Lise Getoor and Dianne O'leary
Advances in Neural Information Processing Systems 25, 2012


Multilabel Classification using Bayesian Compressed Sensing
Ashish Kapoor, Raajay Viswanathan and Prateek Jain
Advances in Neural Information Processing Systems 25, 2012


Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard and Benjamin V. Roy
Advances in Neural Information Processing Systems 25, 2012


Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization
Demba Ba, Behtash Babadi, Patrick Purdon and Emery Brown
Advances in Neural Information Processing Systems 25, 2012


A quasi-Newton proximal splitting method
Stephen Becker and Jalal Fadili
Advances in Neural Information Processing Systems 25, 2012


Expectation Propagation in Gaussian Process Dynamical Systems
Marc Deisenroth and Shakir Mohamed
Advances in Neural Information Processing Systems 25, 2012


Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell, Jeff Beck and Katherine A. Heller
Advances in Neural Information Processing Systems 25, 2012


Ancestor Sampling for Particle Gibbs
Fredrik Lindsten, Thomas Schön and Michael I. Jordan
Advances in Neural Information Processing Systems 25, 2012


Factorial LDA: Sparse Multi-Dimensional Text Models
Michael Paul and Mark Dredze
Advances in Neural Information Processing Systems 25, 2012


Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha, Gert R. Lanckriet and Kilian Q. Weinberger
Advances in Neural Information Processing Systems 25, 2012


Minimization of Continuous Bethe Approximations: A Positive Variation
Jason Pacheco and Erik B. Sudderth
Advances in Neural Information Processing Systems 25, 2012


Transferring Expectations in Model-based Reinforcement Learning
Trung Nguyen, Tomi Silander and Tze Y. Leong
Advances in Neural Information Processing Systems 25, 2012


Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou and Lawrence Carin
Advances in Neural Information Processing Systems 25, 2012


Exponential Concentration for Mutual Information Estimation with Application to Forests
Han Liu, Larry Wasserman and John D. Lafferty
Advances in Neural Information Processing Systems 25, 2012


Semi-supervised Eigenvectors for Locally-biased Learning
Toke Hansen and Michael W. Mahoney
Advances in Neural Information Processing Systems 25, 2012


Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
Michael Collins and Shay B. Cohen
Advances in Neural Information Processing Systems 25, 2012


Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
Amadou Ba, Mathieu Sinn, Yannig Goude and Pascal Pompey
Advances in Neural Information Processing Systems 25, 2012


Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
Weiwei Cheng, Willem Waegeman, Volkmar Welker and Eyke Hüllermeier
Advances in Neural Information Processing Systems 25, 2012


Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo Canas and Lorenzo Rosasco
Advances in Neural Information Processing Systems 25, 2012


A Polynomial-time Form of Robust Regression
Ozlem Aslan, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh and Devavrat Shah
Advances in Neural Information Processing Systems 25, 2012


Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio and Lorenzo Rosasco
Advances in Neural Information Processing Systems 25, 2012


Towards a learning-theoretic analysis of spike-timing dependent plasticity
David Balduzzi and Michel Besserve
Advances in Neural Information Processing Systems 25, 2012


A Better Way to Pretrain Deep Boltzmann Machines
Geoffrey E. Hinton and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 25, 2012


Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek Kamilov, Sundeep Rangan, Michael Unser and Alyson K. Fletcher
Advances in Neural Information Processing Systems 25, 2012


Multiple Operator-valued Kernel Learning
Hachem Kadri, Alain Rakotomamonjy, Philippe Preux and Francis R. Bach
Advances in Neural Information Processing Systems 25, 2012


Recovery of Sparse Probability Measures via Convex Programming
Mert Pilanci, Laurent E. Ghaoui and Venkat Chandrasekaran
Advances in Neural Information Processing Systems 25, 2012


Bayesian models for Large-scale Hierarchical Classification
Siddharth Gopal, Yiming Yang, Bing Bai and Alexandru Niculescu-mizil
Advances in Neural Information Processing Systems 25, 2012


No-Regret Algorithms for Unconstrained Online Convex Optimization
Brendan Mcmahan and Matthew Streeter
Advances in Neural Information Processing Systems 25, 2012


Dip-means: an incremental clustering method for estimating the number of clusters
Argyris Kalogeratos and Aristidis Likas
Advances in Neural Information Processing Systems 25, 2012


Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Advances in Neural Information Processing Systems 25, 2012


"Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders"
Sanjeev Arora, Rong Ge, Ankur Moitra and Sushant Sachdeva
Advances in Neural Information Processing Systems 25, 2012


Learning the Dependency Structure of Latent Factors
Yunlong He, Yanjun Qi, Koray Kavukcuoglu and Haesun Park
Advances in Neural Information Processing Systems 25, 2012


Weighted Likelihood Policy Search with Model Selection
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio and Yoshinobu Kawahara
Advances in Neural Information Processing Systems 25, 2012


Bayesian active learning with localized priors for fast receptive field characterization
Mijung Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 25, 2012


A Simple and Practical Algorithm for Differentially Private Data Release
Moritz Hardt, Katrina Ligett and Frank Mcsherry
Advances in Neural Information Processing Systems 25, 2012


A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
Cho-jui Hsieh, Arindam Banerjee, Inderjit S. Dhillon and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 25, 2012


Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand
Amy Greenwald, Jiacui Li and Eric Sodomka
Advances in Neural Information Processing Systems 25, 2012


The topographic unsupervised learning of natural sounds in the auditory cortex
Hiroki Terashima and Masato Okada
Advances in Neural Information Processing Systems 25, 2012


Rational inference of relative preferences
Nisheeth Srivastava and Paul R. Schrater
Advances in Neural Information Processing Systems 25, 2012


Collaborative Ranking With 17 Parameters
Maksims Volkovs and Richard S. Zemel
Advances in Neural Information Processing Systems 25, 2012


Learning optimal spike-based representations
Ralph Bourdoukan, David Barrett, Sophie Deneve and Christian K. Machens
Advances in Neural Information Processing Systems 25, 2012


Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding
Philip Sterne, Joerg Bornschein, Abdul-saboor Sheikh, Joerg Luecke and Jacquelyn A. Shelton
Advances in Neural Information Processing Systems 25, 2012


A systematic approach to extracting semantic information from functional MRI data
Francisco Pereira and Matthew Botvinick
Advances in Neural Information Processing Systems 25, 2012


Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva P. Kasiviswanathan, Huahua Wang, Arindam Banerjee and Prem Melville
Advances in Neural Information Processing Systems 25, 2012


Scalable Inference of Overlapping Communities
Prem Gopalan, Sean Gerrish, Michael Freedman, David M. Blei and David M. Mimno
Advances in Neural Information Processing Systems 25, 2012


Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti and Sinead Williamson
Advances in Neural Information Processing Systems 25, 2012


Learning with Target Prior
Zuoguan Wang, Siwei Lyu, Gerwin Schalk and Qiang Ji
Advances in Neural Information Processing Systems 25, 2012


Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 25, 2012


Sketch-Based Linear Value Function Approximation
Marc Bellemare, Joel Veness and Michael Bowling
Advances in Neural Information Processing Systems 25, 2012


Clustering Sparse Graphs
Yudong Chen, Sujay Sanghavi and Huan Xu
Advances in Neural Information Processing Systems 25, 2012


Learning from the Wisdom of Crowds by Minimax Entropy
Dengyong Zhou, Sumit Basu, Yi Mao and John C. Platt
Advances in Neural Information Processing Systems 25, 2012


Affine Independent Variational Inference
Edward Challis and David Barber
Advances in Neural Information Processing Systems 25, 2012


Algorithms for Learning Markov Field Policies
Abdeslam Boularias, Jan R. Peters and Oliver B. Kroemer
Advances in Neural Information Processing Systems 25, 2012


"Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss"
Zhuo Wang, Alan Stocker and Daniel D. Lee
Advances in Neural Information Processing Systems 25, 2012


Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Borja Balle and Mehryar Mohri
Advances in Neural Information Processing Systems 25, 2012


Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Nishant Mehta, Dongryeol Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 25, 2012


Relax and Randomize : From Value to Algorithms
Sasha Rakhlin, Ohad Shamir and Karthik Sridharan
Advances in Neural Information Processing Systems 25, 2012


On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks
Qirong Ho, Junming Yin and Eric P. Xing
Advances in Neural Information Processing Systems 25, 2012


Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
Pradeep Shenoy and Angela J. Yu
Advances in Neural Information Processing Systems 25, 2012


Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu and Chenlei Leng
Advances in Neural Information Processing Systems 25, 2012


Approximating Concavely Parameterized Optimization Problems
Joachim Giesen, Jens Mueller, Soeren Laue and Sascha Swiercy
Advances in Neural Information Processing Systems 25, 2012


Collaborative Gaussian Processes for Preference Learning
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani and Jose M. Hernández-lobato
Advances in Neural Information Processing Systems 25, 2012


Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-ling Loh and Martin J. Wainwright
Advances in Neural Information Processing Systems 25, 2012


Classification Calibration Dimension for General Multiclass Losses
Harish G. Ramaswamy and Shivani Agarwal
Advances in Neural Information Processing Systems 25, 2012


Tractable Objectives for Robust Policy Optimization
Katherine Chen and Michael Bowling
Advances in Neural Information Processing Systems 25, 2012


Reducing statistical time-series problems to binary classification
Daniil Ryabko and Jeremie Mary
Advances in Neural Information Processing Systems 25, 2012


Bayesian nonparametric models for bipartite graphs
Francois Caron
Advances in Neural Information Processing Systems 25, 2012


Pointwise Tracking the Optimal Regression Function
Yair Wiener and Ran El-yaniv
Advances in Neural Information Processing Systems 25, 2012


Learning the Architecture of Sum-Product Networks Using Clustering on Variables
Aaron Dennis and Dan Ventura
Advances in Neural Information Processing Systems 25, 2012


A Geometric take on Metric Learning
Søren Hauberg, Oren Freifeld and Michael J. Black
Advances in Neural Information Processing Systems 25, 2012


Bayesian estimation of discrete entropy with mixtures of stick-breaking priors
Evan Archer, Il M. Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 25, 2012


Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim and Chang D. Yoo
Advances in Neural Information Processing Systems 25, 2012


From Deformations to Parts: Motion-based Segmentation of 3D Objects
Soumya Ghosh, Matthew Loper, Erik B. Sudderth and Michael J. Black
Advances in Neural Information Processing Systems 25, 2012


Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye and Chang-shui Zhang
Advances in Neural Information Processing Systems 25, 2012


A mechanistic model of early sensory processing based on subtracting sparse representations
Shaul Druckmann, Tao Hu and Dmitri B. Chklovskii
Advances in Neural Information Processing Systems 25, 2012


Learning as MAP Inference in Discrete Graphical Models
Xianghang Liu, James Petterson and Tibério S. Caetano
Advances in Neural Information Processing Systems 25, 2012


Online allocation and homogeneous partitioning for piecewise constant mean-approximation
Alexandra Carpentier and Odalric-ambrym Maillard
Advances in Neural Information Processing Systems 25, 2012


The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes
Simon Lyons, Amos J. Storkey and Simo Särkkä
Advances in Neural Information Processing Systems 25, 2012


Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization
Konstantinos Tsianos, Sean Lawlor and Michael G. Rabbat
Advances in Neural Information Processing Systems 25, 2012


The Perturbed Variation
Maayan Harel and Shie Mannor
Advances in Neural Information Processing Systems 25, 2012


Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
Yung-kyun Noh, Frank Park and Daniel D. Lee
Advances in Neural Information Processing Systems 25, 2012


Meta-Gaussian Information Bottleneck
Melanie Rey and Volker Roth
Advances in Neural Information Processing Systems 25, 2012


Slice Normalized Dynamic Markov Logic Networks
Tivadar Papai, Henry Kautz and Daniel Stefankovic
Advances in Neural Information Processing Systems 25, 2012


Fully Bayesian inference for neural models with negative-binomial spiking
James Scott and Jonathan W. Pillow
Advances in Neural Information Processing Systems 25, 2012


Repulsive Mixtures
Francesca Petralia, Vinayak Rao and David B. Dunson
Advances in Neural Information Processing Systems 25, 2012


Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions
Neil Burch, Marc Lanctot, Duane Szafron and Richard G. Gibson
Advances in Neural Information Processing Systems 25, 2012


Neurally Plausible Reinforcement Learning of Working Memory Tasks
Jaldert Rombouts, Pieter Roelfsema and Sander M. Bohte
Advances in Neural Information Processing Systems 25, 2012


Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling
Antonino Freno, Mikaela Keller and Marc Tommasi
Advances in Neural Information Processing Systems 25, 2012


Bayesian Nonparametric Modeling of Suicide Attempts
Francisco Ruiz, Isabel Valera, Carlos Blanco and Fernando Pérez-cruz
Advances in Neural Information Processing Systems 25, 2012


MAP Inference in Chains using Column Generation
David Belanger, Alexandre Passos, Sebastian Riedel and Andrew Mccallum
Advances in Neural Information Processing Systems 25, 2012


Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
Sander M. Bohte
Advances in Neural Information Processing Systems 25, 2012


On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
Bruno Scherrer and Boris Lesner
Advances in Neural Information Processing Systems 25, 2012


Persistent Homology for Learning Densities with Bounded Support
Florian T. Pokorny, Hedvig Kjellström, Danica Kragic and Carl Ek
Advances in Neural Information Processing Systems 25, 2012


Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
Mathieu Sinn and Bei Chen
Advances in Neural Information Processing Systems 25, 2012


Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
Abner Guzmán-rivera, Dhruv Batra and Pushmeet Kohli
Advances in Neural Information Processing Systems 25, 2012


Kernel Hyperalignment
Alexander Lorbert and Peter J. Ramadge
Advances in Neural Information Processing Systems 25, 2012


Learning curves for multi-task Gaussian process regression
Peter Sollich and Simon Ashton
Advances in Neural Information Processing Systems 25, 2012


Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
Jinfeng Yi, Rong Jin, Shaili Jain, Tianbao Yang and Anil K. Jain
Advances in Neural Information Processing Systems 25, 2012


Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
Ronald Ortner and Daniil Ryabko
Advances in Neural Information Processing Systems 25, 2012


Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr and Tobias Scheffer
Advances in Neural Information Processing Systems 25, 2012


Dual-Space Analysis of the Sparse Linear Model
Yi Wu and David P. Wipf
Advances in Neural Information Processing Systems 25, 2012


"Natural Images, Gaussian Mixtures and Dead Leaves"
Daniel Zoran and Yair Weiss
Advances in Neural Information Processing Systems 25, 2012


Causal discovery with scale-mixture model for spatiotemporal variance dependencies
Zhitang Chen, Kun Zhang and Laiwan Chan
Advances in Neural Information Processing Systems 25, 2012


Semantic Kernel Forests from Multiple Taxonomies
Sung J. Hwang, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 25, 2012


A lattice filter model of the visual pathway
Karol Gregor and Dmitri B. Chklovskii
Advances in Neural Information Processing Systems 25, 2012


Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
Christian Mayr, Paul Stärke, Johannes Partzsch, Love Cederstroem, Rene Schüffny, Yao Shuai, Nan Du and Heidemarie Schmidt
Advances in Neural Information Processing Systems 25, 2012


Mixability in Statistical Learning
Tim V. Erven, Peter Grünwald, Mark D. Reid and Robert C. Williamson
Advances in Neural Information Processing Systems 25, 2012


Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Maneesh Sahani and Jakob H. Macke
Advances in Neural Information Processing Systems 25, 2012


Convex Multi-view Subspace Learning
Martha White, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


On the connections between saliency and tracking
Vijay Mahadevan and Nuno Vasconcelos
Advances in Neural Information Processing Systems 25, 2012


On Lifting the Gibbs Sampling Algorithm
Deepak Venugopal and Vibhav Gogate
Advances in Neural Information Processing Systems 25, 2012


Isotropic Hashing
Weihao Kong and Wu-jun Li
Advances in Neural Information Processing Systems 25, 2012


Multiresolution analysis on the symmetric group
Risi Kondor and Walter Dempsey
Advances in Neural Information Processing Systems 25, 2012


Nonparametric Reduced Rank Regression
Rina Foygel, Michael Horrell, Mathias Drton and John D. Lafferty
Advances in Neural Information Processing Systems 25, 2012


Bayesian Warped Gaussian Processes
Miguel Lázaro-gredilla
Advances in Neural Information Processing Systems 25, 2012


A Linear Time Active Learning Algorithm for Link Classification
Nicolò Cesa-bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella
Advances in Neural Information Processing Systems 25, 2012


Parametric Local Metric Learning for Nearest Neighbor Classification
Jun Wang, Alexandros Kalousis and Adam Woznica
Advances in Neural Information Processing Systems 25, 2012


Monte Carlo Methods for Maximum Margin Supervised Topic Models
Qixia Jiang, Jun Zhu, Maosong Sun and Eric P. Xing
Advances in Neural Information Processing Systems 25, 2012


Selecting Diverse Features via Spectral Regularization
Abhimanyu Das, Anirban Dasgupta and Ravi Kumar
Advances in Neural Information Processing Systems 25, 2012


Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot, Ian Wong and Arian Maleki
Advances in Neural Information Processing Systems 25, 2012


Proper losses for learning from partial labels
Jesús Cid-sueiro
Advances in Neural Information Processing Systems 25, 2012


Joint Modeling of a Matrix with Associated Text via Latent Binary Features
Xianxing Zhang and Lawrence Carin
Advances in Neural Information Processing Systems 25, 2012


Graphical Gaussian Vector for Image Categorization
Tatsuya Harada and Yasuo Kuniyoshi
Advances in Neural Information Processing Systems 25, 2012


Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
Alekh Agarwal, Sahand Negahban and Martin J. Wainwright
Advances in Neural Information Processing Systems 25, 2012


Feature-aware Label Space Dimension Reduction for Multi-label Classification
Yao-nan Chen and Hsuan-tien Lin
Advances in Neural Information Processing Systems 25, 2012


Bayesian nonparametric models for ranked data
Francois Caron and Yee W. Teh
Advances in Neural Information Processing Systems 25, 2012


Identifiability and Unmixing of Latent Parse Trees
Percy Liang, Daniel J. Hsu and Sham M. Kakade
Advances in Neural Information Processing Systems 25, 2012


Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, Martin J. Wainwright and John C. Duchi
Advances in Neural Information Processing Systems 25, 2012


Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
Kei Wakabayashi and Takao Miura
Advances in Neural Information Processing Systems 25, 2012


On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization
Doina Precup, Joelle Pineau and Andre S. Barreto
Advances in Neural Information Processing Systems 25, 2012


Learning Multiple Tasks using Shared Hypotheses
Koby Crammer and Yishay Mansour
Advances in Neural Information Processing Systems 25, 2012


Active Learning of Multi-Index Function Models
Tyagi Hemant and Volkan Cevher
Advances in Neural Information Processing Systems 25, 2012


Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel and Nathan Srebro
Advances in Neural Information Processing Systems 25, 2012


Hierarchical Optimistic Region Selection driven by Curiosity
Odalric-ambrym Maillard
Advances in Neural Information Processing Systems 25, 2012


Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
Andre Wibisono, Martin J. Wainwright, Michael I. Jordan and John C. Duchi
Advances in Neural Information Processing Systems 25, 2012


Privacy Aware Learning
Martin J. Wainwright, Michael I. Jordan and John C. Duchi
Advances in Neural Information Processing Systems 25, 2012


Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging
Chris Hinrichs, Vikas Singh, Jiming Peng and Sterling Johnson
Advances in Neural Information Processing Systems 25, 2012


Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo and Yousef Saad
Advances in Neural Information Processing Systems 25, 2012


Bayesian Probabilistic Co-Subspace Addition
Lei Shi
Advances in Neural Information Processing Systems 25, 2012


Symbolic Dynamic Programming for Continuous State and Observation POMDPs
Zahra Zamani, Scott Sanner, Pascal Poupart and Kristian Kersting
Advances in Neural Information Processing Systems 25, 2012


Convergence and Energy Landscape for Cheeger Cut Clustering
Xavier Bresson, Thomas Laurent, David Uminsky and James V. Brecht
Advances in Neural Information Processing Systems 25, 2012


Co-Regularized Hashing for Multimodal Data
Yi Zhen and Dit-yan Yeung
Advances in Neural Information Processing Systems 25, 2012


CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem
Henrik Ohlsson, Allen Yang, Roy Dong and Shankar Sastry
Advances in Neural Information Processing Systems 25, 2012


Graphical Models via Generalized Linear Models
Eunho Yang, Genevera Allen, Zhandong Liu and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 25, 2012


"Compressive neural representation of sparse, high-dimensional probabilities"
Xaq S. Pitkow
Advances in Neural Information Processing Systems 25, 2012


Value Pursuit Iteration
Amir M. Farahmand and Doina Precup
Advances in Neural Information Processing Systems 25, 2012


Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Jason Eisner and Hal Daume
Advances in Neural Information Processing Systems 25, 2012


Learning visual motion in recurrent neural networks
Marius Pachitariu and Maneesh Sahani
Advances in Neural Information Processing Systems 25, 2012


Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs and Richard S. Zemel
Advances in Neural Information Processing Systems 25, 2012


Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Xue-xin Wei and Alan Stocker
Advances in Neural Information Processing Systems 25, 2012


Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
Michael C. Hughes, Emily B. Fox and Erik B. Sudderth
Advances in Neural Information Processing Systems 25, 2012


Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu, Koji Eguchi and Eric P. Xing
Advances in Neural Information Processing Systems 25, 2012


High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin and Li Shen
Advances in Neural Information Processing Systems 25, 2012


How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
Yanping Huang, Timothy Hanks, Mike Shadlen, Abram L. Friesen and Rajesh P. Rao
Advances in Neural Information Processing Systems 25, 2012


Fused sparsity and robust estimation for linear models with unknown variance
Arnak Dalalyan and Yin Chen
Advances in Neural Information Processing Systems 25, 2012


A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio and Tibério S. Caetano
Advances in Neural Information Processing Systems 25, 2012


Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
Won H. Kim, Deepti Pachauri, Charles Hatt, Moo. K. Chung, Sterling Johnson and Vikas Singh
Advances in Neural Information Processing Systems 25, 2012


Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Yanyan Lan, Jiafeng Guo, Xueqi Cheng and Tie-yan Liu
Advances in Neural Information Processing Systems 25, 2012


Large Scale Distributed Deep Networks
Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Mark Mao, Marc'aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Quoc V. Le and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Factoring nonnegative matrices with linear programs
Ben Recht, Christopher Re, Joel Tropp and Victor Bittorf
Advances in Neural Information Processing Systems 25, 2012


Optimal kernel choice for large-scale two-sample tests
Arthur Gretton, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 25, 2012


Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma and Svetlana Lazebnik
Advances in Neural Information Processing Systems 25, 2012


A Marginalized Particle Gaussian Process Regression
Yali Wang and Brahim Chaib-draa
Advances in Neural Information Processing Systems 25, 2012


Unsupervised Structure Discovery for Semantic Analysis of Audio
Sourish Chaudhuri and Bhiksha Raj
Advances in Neural Information Processing Systems 25, 2012


Multi-Task Averaging
Sergey Feldman, Maya Gupta and Bela Frigyik
Advances in Neural Information Processing Systems 25, 2012


"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs"
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya and Devdatt Dubhashi
Advances in Neural Information Processing Systems 25, 2012


On Multilabel Classification and Ranking with Partial Feedback
Claudio Gentile and Francesco Orabona
Advances in Neural Information Processing Systems 25, 2012


GenDeR: A Generic Diversified Ranking Algorithm
Jingrui He, Hanghang Tong, Qiaozhu Mei and Boleslaw Szymanski
Advances in Neural Information Processing Systems 25, 2012


A Bayesian Approach for Policy Learning from Trajectory Preference Queries
Aaron Wilson, Alan Fern and Prasad Tadepalli
Advances in Neural Information Processing Systems 25, 2012


Training sparse natural image models with a fast Gibbs sampler of an extended state space
Lucas Theis, Jascha Sohl-dickstein and Matthias Bethge
Advances in Neural Information Processing Systems 25, 2012


Compressive Sensing MRI with Wavelet Tree Sparsity
Chen Chen and Junzhou Huang
Advances in Neural Information Processing Systems 25, 2012


Recognizing Activities by Attribute Dynamics
Weixin Li and Nuno Vasconcelos
Advances in Neural Information Processing Systems 25, 2012


ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 25, 2012


Delay Compensation with Dynamical Synapses
Chi Fung, K. Wong and Si Wu
Advances in Neural Information Processing Systems 25, 2012


Clustering by Nonnegative Matrix Factorization Using Graph Random Walk
Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen and Erkki Oja
Advances in Neural Information Processing Systems 25, 2012


Spiking and saturating dendrites differentially expand single neuron computation capacity.
Romain Cazé, Mark Humphries and Boris S. Gutkin
Advances in Neural Information Processing Systems 25, 2012


Hamming Distance Metric Learning
Mohammad Norouzi, David Fleet and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 25, 2012


Learning Mixtures of Tree Graphical Models
Anima Anandkumar, Furong Huang, Daniel J. Hsu and Sham M. Kakade
Advances in Neural Information Processing Systems 25, 2012


Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs
Anima Anandkumar and Ragupathyraj Valluvan
Advances in Neural Information Processing Systems 25, 2012


Dimensionality Dependent PAC-Bayes Margin Bound
Chi Jin and Liwei Wang
Advances in Neural Information Processing Systems 25, 2012


Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver and Peter Dayan
Advances in Neural Information Processing Systems 25, 2012


Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
Ashwini Shukla and Aude Billard
Advances in Neural Information Processing Systems 25, 2012


Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot and Olivier Pietquin
Advances in Neural Information Processing Systems 25, 2012


Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani and Daniel M. Roy
Advances in Neural Information Processing Systems 25, 2012


Near-optimal Differentially Private Principal Components
Kamalika Chaudhuri, Anand Sarwate and Kaushik Sinha
Advances in Neural Information Processing Systems 25, 2012


Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-bianchi, Pierre Gaillard, Gabor Lugosi and Gilles Stoltz
Advances in Neural Information Processing Systems 25, 2012


Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama and S. D. Babacan
Advances in Neural Information Processing Systems 25, 2012


Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
Andrew Delong, Olga Veksler, Anton Osokin and Yuri Boykov
Advances in Neural Information Processing Systems 25, 2012


Accuracy at the Top
Stephen Boyd, Corinna Cortes, Mehryar Mohri and Ana Radovanovic
Advances in Neural Information Processing Systems 25, 2012


Analog readout for optical reservoir computers
Anteo Smerieri, François Duport, Yvon Paquot, Benjamin Schrauwen, Marc Haelterman and Serge Massar
Advances in Neural Information Processing Systems 25, 2012


Matrix reconstruction with the local max norm
Rina Foygel, Nathan Srebro and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 25, 2012


Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs
Aharon Birnbaum and Shai S. Shwartz
Advances in Neural Information Processing Systems 25, 2012


A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar, Yi-kai Liu, Daniel J. Hsu, Dean P. Foster and Sham M. Kakade
Advances in Neural Information Processing Systems 25, 2012


Deep Representations and Codes for Image Auto-Annotation
Ryan Kiros and Csaba Szepesvári
Advances in Neural Information Processing Systems 25, 2012


Nonparanormal Belief Propagation (NPNBP)
Gal Elidan and Cobi Cario
Advances in Neural Information Processing Systems 25, 2012


Timely Object Recognition
Sergey Karayev, Tobias Baumgartner, Mario Fritz and Trevor Darrell
Advances in Neural Information Processing Systems 25, 2012


Searching for objects driven by context
Bogdan Alexe, Nicolas Heess, Yee W. Teh and Vittorio Ferrari
Advances in Neural Information Processing Systems 25, 2012


Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
Uri Maoz, Shengxuan Ye, Ian Ross, Adam Mamelak and Christof Koch
Advances in Neural Information Processing Systems 25, 2012


Calibrated Elastic Regularization in Matrix Completion
Tingni Sun and Cun-hui Zhang
Advances in Neural Information Processing Systems 25, 2012


Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes
Jake Bouvrie and Jean-jeacques Slotine
Advances in Neural Information Processing Systems 25, 2012


Multi-criteria Anomaly Detection using Pareto Depth Analysis
Ko-jen Hsiao, Kevin Xu, Jeff Calder and Alfred O. Hero
Advances in Neural Information Processing Systems 25, 2012


Regularized Off-Policy TD-Learning
Bo Liu, Sridhar Mahadevan and Ji Liu
Advances in Neural Information Processing Systems 25, 2012


Proximal Newton-type methods for convex optimization
Jason Lee, Yuekai Sun and Michael Saunders
Advances in Neural Information Processing Systems 25, 2012


Learning Partially Observable Models Using Temporally Abstract Decision Trees
Erik Talvitie
Advances in Neural Information Processing Systems 25, 2012


Kernel Latent SVM for Visual Recognition
Weilong Yang, Yang Wang, Arash Vahdat and Greg Mori
Advances in Neural Information Processing Systems 25, 2012


Transelliptical Graphical Models
Han Liu, Fang Han and Cun-hui Zhang
Advances in Neural Information Processing Systems 25, 2012


Topology Constraints in Graphical Models
Marcelo Fiori, Pablo Musé and Guillermo Sapiro
Advances in Neural Information Processing Systems 25, 2012


Clustering Aggregation as Maximum-Weight Independent Set
Nan Li and Longin J. Latecki
Advances in Neural Information Processing Systems 25, 2012


Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
Stefan Habenschuss, Johannes Bill and Bernhard Nessler
Advances in Neural Information Processing Systems 25, 2012


Learning to Align from Scratch
Gary Huang, Marwan Mattar, Honglak Lee and Erik G. Learned-miller
Advances in Neural Information Processing Systems 25, 2012


Newton-Like Methods for Sparse Inverse Covariance Estimation
Figen Oztoprak, Jorge Nocedal, Steven Rennie and Peder A. Olsen
Advances in Neural Information Processing Systems 25, 2012


Localizing 3D cuboids in single-view images
Jianxiong Xiao, Bryan Russell and Antonio Torralba
Advances in Neural Information Processing Systems 25, 2012


Multiresolution Gaussian Processes
Emily B. Fox and David B. Dunson
Advances in Neural Information Processing Systems 25, 2012


Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
Assaf Glazer, Michael Lindenbaum and Shaul Markovitch
Advances in Neural Information Processing Systems 25, 2012


Learning about Canonical Views from Internet Image Collections
Elad Mezuman and Yair Weiss
Advances in Neural Information Processing Systems 25, 2012


A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling
Pieter-jan Kindermans, Hannes Verschore, David Verstraeten and Benjamin Schrauwen
Advances in Neural Information Processing Systems 25, 2012


MCMC for continuous-time discrete-state systems
Vinayak Rao and Yee W. Teh
Advances in Neural Information Processing Systems 25, 2012


Variational Inference for Crowdsourcing
Qiang Liu, Jian Peng and Alex Ihler
Advances in Neural Information Processing Systems 25, 2012


Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus D. Plessis, Song Liu and Ichiro Takeuchi
Advances in Neural Information Processing Systems 25, 2012


Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos, Weichang Li, Niranjan Subrahmanya, Istvan Morocz and William Wells
Advances in Neural Information Processing Systems 25, 2012


Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-paz, Jose M. Hernández-lobato and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


Convolutional-Recursive Deep Learning for 3D Object Classification
Richard Socher, Brody Huval, Bharath Bath, Christopher D. Manning and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang and Zhihua Zhang
Advances in Neural Information Processing Systems 25, 2012


Shifting Weights: Adapting Object Detectors from Image to Video
Kevin Tang, Vignesh Ramanathan, Li Fei-fei and Daphne Koller
Advances in Neural Information Processing Systems 25, 2012


A Polylog Pivot Steps Simplex Algorithm for Classification
Elad Hazan and Zohar Karnin
Advances in Neural Information Processing Systems 25, 2012


Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han, Daniela Witten, Su-in Lee and Maryam Fazel
Advances in Neural Information Processing Systems 25, 2012


3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler, Sven Dickinson and Raquel Urtasun
Advances in Neural Information Processing Systems 25, 2012


Nonconvex Penalization Using Laplace Exponents and Concave Conjugates
Zhihua Zhang and Bojun Tu
Advances in Neural Information Processing Systems 25, 2012


Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati and Deva Ramanan
Advances in Neural Information Processing Systems 25, 2012


Discriminatively Trained Sparse Code Gradients for Contour Detection
Ren Xiaofeng and Liefeng Bo
Advances in Neural Information Processing Systems 25, 2012


Efficient high dimensional maximum entropy modeling via symmetric partition functions
Paul Vernaza and Drew Bagnell
Advances in Neural Information Processing Systems 25, 2012


Ensemble weighted kernel estimators for multivariate entropy estimation
Kumar Sricharan and Alfred O. Hero
Advances in Neural Information Processing Systems 25, 2012


Majorization for CRFs and Latent Likelihoods
Tony Jebara and Anna Choromanska
Advances in Neural Information Processing Systems 25, 2012


A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu and Thomas G. Dietterich
Advances in Neural Information Processing Systems 25, 2012


Learning to Discover Social Circles in Ego Networks
Jure Leskovec and Julian J. Mcauley
Advances in Neural Information Processing Systems 25, 2012


Scalable nonconvex inexact proximal splitting
Suvrit Sra
Advances in Neural Information Processing Systems 25, 2012


Assessing Blinding in Clinical Trials
Ognjen Arandjelovic
Advances in Neural Information Processing Systems 25, 2012


Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Pietro D. Lena, Ken Nagata and Pierre F. Baldi
Advances in Neural Information Processing Systems 25, 2012


"Neuronal spike generation mechanism as an oversampling, noise-shaping A-to-D converter"
Daniel Soudry and Dmitri B. Chklovskii
Advances in Neural Information Processing Systems 25, 2012


Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu and Jinfeng Yi
Advances in Neural Information Processing Systems 25, 2012


Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato and Shai S. Shwartz
Advances in Neural Information Processing Systems 25, 2012


"Nystr{\""o}m Method vs Random Fourier Features: A Theoretical and Empirical Comparison"
Tianbao Yang, Yu-feng Li, Mehrdad Mahdavi, Rong Jin and Zhi-hua Zhou
Advances in Neural Information Processing Systems 25, 2012


Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task
Jenna Wiens, Eric Horvitz and John V. Guttag
Advances in Neural Information Processing Systems 25, 2012


Multiplicative Forests for Continuous-Time Processes
Jeremy Weiss, Sriraam Natarajan and David Page
Advances in Neural Information Processing Systems 25, 2012


Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
Joan Fruitet, Alexandra Carpentier, Maureen Clerc and Rémi Munos
Advances in Neural Information Processing Systems 25, 2012


Learning Invariant Representations of Molecules for Atomization Energy Prediction
Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, Anatole V. Lilienfeld and Klaus-robert Müller
Advances in Neural Information Processing Systems 25, 2012


Context-Sensitive Decision Forests for Object Detection
Peter Kontschieder, Samuel R. Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo and Horst Bischof
Advances in Neural Information Processing Systems 25, 2012


3D Social Saliency from Head-mounted Cameras
Hyun S. Park, Eakta Jain and Yaser Sheikh
Advances in Neural Information Processing Systems 25, 2012


Truncation-free Online Variational Inference for Bayesian Nonparametric Models
Chong Wang and David M. Blei
Advances in Neural Information Processing Systems 25, 2012


The variational hierarchical EM algorithm for clustering hidden Markov models.
Emanuele Coviello, Gert R. Lanckriet and Antoni B. Chan
Advances in Neural Information Processing Systems 25, 2012


Optimal Regularized Dual Averaging Methods for Stochastic Optimization
Xi Chen, Qihang Lin and Javier Pena
Advances in Neural Information Processing Systems 25, 2012


Non-parametric Approximate Dynamic Programming via the Kernel Method
Nikhil Bhat, Vivek Farias and Ciamac C. Moallemi
Advances in Neural Information Processing Systems 25, 2012


Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity
Angela Eigenstetter and Bjorn Ommer
Advances in Neural Information Processing Systems 25, 2012


Action-Model Based Multi-agent Plan Recognition
Hankz H. Zhuo, Qiang Yang and Subbarao Kambhampati
Advances in Neural Information Processing Systems 25, 2012


Transelliptical Component Analysis
Fang Han and Han Liu
Advances in Neural Information Processing Systems 25, 2012


Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Du Tran and Junsong Yuan
Advances in Neural Information Processing Systems 25, 2012


Image Denoising and Inpainting with Deep Neural Networks
Junyuan Xie, Linli Xu and Enhong Chen
Advances in Neural Information Processing Systems 25, 2012


Volume Regularization for Binary Classification
Koby Crammer and Tal Wagner
Advances in Neural Information Processing Systems 25, 2012


Selective Labeling via Error Bound Minimization
Quanquan Gu, Tong Zhang, Jiawei Han and Chris H. Ding
Advances in Neural Information Processing Systems 25, 2012


Automatic Feature Induction for Stagewise Collaborative Filtering
Joonseok Lee, Mingxuan Sun, Guy Lebanon and Seung-jean Kim
Advances in Neural Information Processing Systems 25, 2012


Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions
Jaedeug Choi and Kee-eung Kim
Advances in Neural Information Processing Systems 25, 2012


Memorability of Image Regions
Aditya Khosla, Jianxiong Xiao, Antonio Torralba and Aude Oliva
Advances in Neural Information Processing Systems 25, 2012


Multi-task Vector Field Learning
Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye and Xiaofei He
Advances in Neural Information Processing Systems 25, 2012


Fast Resampling Weighted v-Statistics
Chunxiao Zhou, Jiseong Park and Yun Fu
Advances in Neural Information Processing Systems 25, 2012


An Integer Optimization Approach to Associative Classification
Allison Chang, Dimitris Bertsimas and Cynthia Rudin
Advances in Neural Information Processing Systems 25, 2012


Distributed Non-Stochastic Experts
Varun Kanade, Zhenming Liu and Bozidar Radunovic
Advances in Neural Information Processing Systems 25, 2012


Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions
Alexandra Carpentier and Rémi Munos
Advances in Neural Information Processing Systems 25, 2012


Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
Xiaolong Wang and Liang Lin
Advances in Neural Information Processing Systems 25, 2012


Robustness and risk-sensitivity in Markov decision processes
Takayuki Osogami
Advances in Neural Information Processing Systems 25, 2012


Cocktail Party Processing via Structured Prediction
Yuxuan Wang and Deliang Wang
Advances in Neural Information Processing Systems 25, 2012


Supervised Learning with Similarity Functions
Purushottam Kar and Prateek Jain
Advances in Neural Information Processing Systems 25, 2012


Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
Manuel Lopes, Tobias Lang, Marc Toussaint and Pierre-yves Oudeyer
Advances in Neural Information Processing Systems 25, 2012


"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking"
Clément Calauzènes, Nicolas Usunier and Patrick Gallinari
Advances in Neural Information Processing Systems 25, 2012


The representer theorem for Hilbert spaces: a necessary and sufficient condition
Francesco Dinuzzo and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing
Shinsuke Koyama
Advances in Neural Information Processing Systems 25, 2012


Semiparametric Principal Component Analysis
Fang Han and Han Liu
Advances in Neural Information Processing Systems 25, 2012


Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder and Han Liu
Advances in Neural Information Processing Systems 25, 2012


Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
Wei Bi and James T. Kwok
Advances in Neural Information Processing Systems 25, 2012


A new metric on the manifold of kernel matrices with application to matrix geometric means
Suvrit Sra
Advances in Neural Information Processing Systems 25, 2012


Putting Bayes to sleep
Dmitry Adamskiy, Manfred K. Warmuth and Wouter M. Koolen
Advances in Neural Information Processing Systems 25, 2012


Random Utility Theory for Social Choice
Hossein Azari, David Parks and Lirong Xia
Advances in Neural Information Processing Systems 25, 2012


The Bethe Partition Function of Log-supermodular Graphical Models
Nicholas Ruozzi
Advances in Neural Information Processing Systems 25, 2012


Super-Bit Locality-Sensitive Hashing
Jianqiu Ji, Jianmin Li, Shuicheng Yan, Bo Zhang and Qi Tian
Advances in Neural Information Processing Systems 25, 2012


A Generative Model for Parts-based Object Segmentation
S. Eslami and Christopher Williams
Advances in Neural Information Processing Systems 25, 2012


Local Supervised Learning through Space Partitioning
Joseph Wang and Venkatesh Saligrama
Advances in Neural Information Processing Systems 25, 2012


Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction
Christoph H. Lampert
Advances in Neural Information Processing Systems 25, 2012


Bayesian Hierarchical Reinforcement Learning
Feng Cao and Soumya Ray
Advances in Neural Information Processing Systems 25, 2012


Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction
Minjie Xu, Jun Zhu and Bo Zhang
Advances in Neural Information Processing Systems 25, 2012


Coupling Nonparametric Mixtures via Latent Dirichlet Processes
Dahua Lin and John W. Fisher
Advances in Neural Information Processing Systems 25, 2012


Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani, David K. Duvenaud, Stephen J. Roberts and Carl E. Rasmussen
Advances in Neural Information Processing Systems 25, 2012


Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA
C. M. Niu, Sirish Nandyala, Won J. Sohn and Terence Sanger
Advances in Neural Information Processing Systems 25, 2012


Feature Clustering for Accelerating Parallel Coordinate Descent
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar and David Haglin
Advances in Neural Information Processing Systems 25, 2012


Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
Ehsan Elhamifar, Guillermo Sapiro and René Vidal
Advances in Neural Information Processing Systems 25, 2012


Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo and Bernhard Schölkopf
Advances in Neural Information Processing Systems 25, 2012


Locally Uniform Comparison Image Descriptor
Andrew Ziegler, Eric Christiansen, David Kriegman and Serge J. Belongie
Advances in Neural Information Processing Systems 25, 2012


Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando D. Freitas, Masrour Zoghi and Alex J. Smola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Lognormal and Gamma Mixed Negative Binomial Regression
Mingyuan Zhou, Lingbo Li, Lawrence Carin and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Convex Multitask Learning with Flexible Task Clusters
Wenliang Zhong and James T. Kwok
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices
Mingjun Zhong and Mark Girolami
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Maximum Margin Output Coding
Yi Zhang and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber and Fabian Moerchen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Discovering Support and Affiliated Features from Very High Dimensions
Yiteng Zhai, Mingkui Tan, Yew S. Ong and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Modeling Images using Transformed Indian Buffet Processes
Ke Zhai, Yuening Hu, Sinead Williamson and Jordan L. Boyd-graber
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Hierarchical Exploration for Accelerating Contextual Bandits
Yisong Yue, Sue A. Hong and Carlos Guestrin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Analysis of Kernel Mean Matching under Covariate Shift
Yao-liang Yu and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Group Sparse Additive Models
Junming Yin, Xi Chen and Eric P. Xing
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Adaptive Canonical Correlation Analysis Based On Matrix Manifolds
Florian Yger, Maxime Berar, Gilles Gasso and Alain Rakotomamonjy
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Clustering by Low-Rank Doubly Stochastic Matrix Decomposition
Zhirong Yang and Erkki Oja
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Multiple Kernel Learning from Noisy Labels by Stochastic Programming
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang and Yang Zhou
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Smoothness and Structure Learning by Proxy
Benjamin Yackley and Terran Lane
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Conditional Sparse Coding and Grouped Multivariate Regression
Min Xu and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Greedy Miser: Learning under Test-time Budgets
Zhixiang Xu, Olivier Chapelle and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
Zenglin Xu, Feng Yan and Alan Qi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
Ning Xie, Hirotaka Hachiya and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem
Lin Xiao and Tong Zhang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Split-Merge Framework for Comparing Clusterings
Qiaoliang Xiang, Qi Mao, Kian M. Chai, Hai L. Chieu, Zhenddong Zhao and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling
Drausin Wulsin, Brian Litt and Shane T. Jensen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Gaussian Process Regression Networks
Andrew Wilson, Zoubin Ghahramani and David A. Knowles
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Latent Collaborative Retrieval
Jason Weston, Chong Wang, Ron Weiss and Adam Berenzweig
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Efficient Euclidean Projections onto the Intersection of Norm Balls
Adams W. Yu, Hao Su and Li Fei-fei
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Exact Soft Confidence-Weighted Learning
Jialei Wang, Peilin Zhao and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Levy Measure Decompositions for the Beta and Gamma Processes
Yingjian Wang and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Monte Carlo Bayesian Reinforcement Learning
Yi Wang, Kok S. Won, Wee S. Lee and Daniel J. Hsu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Online Alternating Direction Method
Huahua Wang and Arindam Banerjee
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Stability of matrix factorization for collaborative filtering
Yu-xiang Wang and Huan Xu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Clustering to Maximize the Ratio of Split to Diameter
Jiabing Wang and Jiaye Chen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Machine Learning that Matters
Kiri L. Wagstaff
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Complete Analysis of the l_1,p Group-Lasso
Volker Roth and Julia E. Vogt
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings
Max Vladymyrov and Miguel Á. Carreira-perpiñán
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering
Gael Varoquaux, Alexandre Gramfort and Bertrand Thirion
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Agglomerative Bregman Clustering
Sanjoy Dasgupta and Matus J. Telgarsky
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Deep Lambertian Networks
Yichuan Tang, Geoffrey E. Hinton and Ruslan Salakhutdinov
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Deep Mixtures of Factor Analysers
Yichuan Tang, Geoffrey E. Hinton and Ruslan Salakhutdinov
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Unified Robust Classification Model
Akiko Takeda, Hiroyuki Mitsugi and Takafumi Kanamori
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem
Peng Sun, Jie Zhou and Mark D. Reid
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Size of the Online Kernel Sparsification Dictionary
Yi Sun, Jürgen Schmidhuber and Faustino J. Gomez
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Path Integral Policy Improvement with Covariance Matrix Adaptation
Freek Stulp and Olivier Sigaud
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Isoelastic Agents and Wealth Updates in Machine Learning Markets
Jono Millin, Krzysztof Geras and Amos J. Storkey
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Topic Model for Melodic Sequences
Athina Spiliopoulou and Amos J. Storkey
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Invariant Representations with Local Transformations
Kihyuk Sohn and Honglak Lee
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Compositional Planning Using Optimal Option Models
David Silver and Kamil Ciosek
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Watermark Attacks
Ivo Shterev and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Online Structured Prediction via Coactive Learning
Pannagadatta K. Shivaswamy and Thorsten Joachims
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi and Fei Sha
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Is margin preserved after random projection?
Qinfeng Shi, Chunhua Shen, Rhys Hill and Anton Hengel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Predicting Preference Flips in Commerce Search
Or Sheffet, Nina Mishra and Samuel Ieong
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization
Hanhuai Shan, Jens Kattge, Peter Reich, Arindam Banerjee, Franziska Schrodt and Markus Reichstein
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Hypothesis testing using pairwise distances and associated kernels
Dino Sejdinovic, Arthur Gretton, Kenji Fukumizu and Bharath K. Sriperumbudur
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Efficient Structured Prediction with Latent Variables for General Graphical Models
Alexander Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On causal and anticausal learning
Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Scaling Up Coordinate Descent Algorithms for Large $\ell_1$ Regularization Problems
Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari and David Haglin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Approximate Modified Policy Iteration
Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon and Matthieu Geist
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Rethinking Collapsed Variational Bayes Inference for LDA
Issei Sato and Hiroshi Nakagawa
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Nonparametric Link Prediction in Dynamic Networks
Purnamrita Sarkar, Deepayan Chakrabarti and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Efficient Decomposed Learning for Structured Prediction
Rajhans Samdani and Dan Roth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Inferring Latent Structure From Mixed Real and Categorical Relational Data
Esther Salazar, Matthew Cain, Elise Darling, Stephen Mitroff and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Tighter Variational Representations of f-Divergences via Restriction to Probability Measures
Avraham Ruderman, Darío García-garcía, James Petterson and Mark D. Reid
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Agnostic System Identification for Model-Based Reinforcement Learning
Stephane Ross and Drew Bagnell
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Generative Process for sampling Contractive Auto-Encoders
Salah Rifai, Yoshua Bengio, Pascal Vincent and Yann N. Dauphin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Estimation of Simultaneously Sparse and Low Rank Matrices
Emile Richard, Pierre-andre Savalle and Nicolas Vayatis
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Copula Mixture Model for Dependency-seeking Clustering
Melanie Rey and Volker Roth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Convexity and Design of Composite Multiclass Losses
Peng Sun, Mark D. Reid and Robert C. Williamson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Generalized Loop Correction Method for Approximate Inference in Graphical Models
Siamak Ravanbakhsh, Russell Greiner and Chun-nam J. Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Output Space Search for Structured Prediction
Janardhan R. Doppa, Alan Fern and Prasad Tadepalli
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sparse Support Vector Infinite Push
Alain Rakotomamonjy
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Alexander Rakhlin, Ohad Shamir and Karthik Sridharan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Most Persistent Soft-Clique in a Set of Sampled Graphs
Novi Quadrianto, Chao Chen and Christoph H. Lampert
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
Sanjay Purushotham, Yan Liu and C.-c. J. Kuo
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Improved Estimation in Time Varying Models
Doina Precup and Philip Bachman
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning to Identify Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr and Tobias Scheffer
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Copula-based Kernel Dependency Measures
Zoubin Ghahramani, Barnabás Póczos and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


LPQP for MAP: Putting LP Solvers to Better Use
Patrick Pletscher and Sharon Wulff
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds
Marek Petrik
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Exact Maximum Margin Structure Learning of Bayesian Networks
Robert Peharz and Franz Pernkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Modeling Latent Variable Uncertainty for Loss-based Learning
M. P. Kumar, Ben Packer and Daphne Koller
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos, Piyush Rai, Jacques Wainer and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Dimensionality Reduction by Local Discriminative Gaussians
Nathan Parrish and Maya Gupta
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An Infinite Latent Attribute Model for Network Data
Konstantina Palla, Zoubin Ghahramani and David A. Knowles
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Variational Bayesian Inference with Stochastic Search
David M. Blei, Michael I. Jordan and John W. Paisley
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Greedy Algorithms for Sparse Reinforcement Learning
Christopher Painter-wakefield and Ronald Parr
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis
Deepti Pachauri, Maxwell Collins, Vikas Singh and Risi Kondor
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure
Hua Ouyang and Alexander G. Gray
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Improved Information Gain Estimates for Decision Tree Induction
Sebastian Nowozin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Information-theoretic Semi-supervised Metric Learning via Entropy Regularization
Gang Niu, Bo Dai, Makoto Yamada and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Optimizing F-measure: A Tale of Two Approaches
Ye Nan, Kian M. Chai, Wee S. Lee and Hai L. Chieu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients
Iftekhar Naim and Daniel Gildea
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation
Gautham Mysore and Maneesh Sahani
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification
Emilie Morvant, Sokol Koço and Liva Ralaivola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian and L1 Approaches for Sparse Unsupervised Learning
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A fast and simple algorithm for training neural probabilistic language models
Andriy Mnih and Yee W. Teh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning to Label Aerial Images from Noisy Data
Volodymyr Mnih and Geoffrey E. Hinton
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sparse stochastic inference for latent Dirichlet allocation
Matt Hoffman, David M. Blei and David M. Mimno
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Safe Exploration in Markov Decision Processes
Teodor M. Moldovan and Pieter Abbeel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Predicting accurate probabilities with a ranking loss
Aditya Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan and Lucila Ohno-machado
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On multi-view feature learning
Roland Memisevic
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Semi-Supervised Collective Classification via Hybrid Label Regularization
Luke Mcdowell and David Tax
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Approximate Principal Direction Trees
Mark Mccartin-lim, Andrew Mcgregor and Rui Wang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Utilizing Static Analysis and Code Generation to Accelerate Neural Networks
Lawrence Mcafee and Kunle Olukotun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Anytime Marginal MAP Inference
Cassio Campos and Denis D. Maua
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Joint Model of Language and Perception for Grounded Attribute Learning
Cynthia Matuszek, Nicholas Fitzgerald, Luke Zettlemoyer, Liefeng Bo and Dieter Fox
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Distributed Tree Kernels
Fabio M. Zanzotto and Lorenzo Dell'arciprete
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Estimating the Hessian by Back-propagating Curvature
James Martens, Ilya Sutskever and Kevin Swersky
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty
Shie Mannor, Ofir Mebel and Huan Xu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Apprenticeship Learning for Model Parameters of Partially Observable Environments
Takaki Makino and Johane Takeuchi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Complexity Analysis of the Lasso Regularization Path
Julien Mairal and Bin Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Fast approximation of matrix coherence and statistical leverage
Petros Drineas, Malik Magdon-ismail, David Woodruff and Michael W. Mahoney
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Multi-level Lasso for Sparse Multi-task Regression
Grzegorz Swirszcz and Aurelie C. Lozano
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Structured Learning from Partial Annotations
Xinghua Lou and Fred A. Hamprecht
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu and Alexander T. Ihler
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Nonparanormal SKEPTIC
Han Liu, Fang Han, Ming Yuan, Larry Wasserman and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
Yan Liu, Taha Bahadori and Hongfei Li
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Compact Hyperplane Hashing with Bilinear Functions
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings
Chao Liu and Yi-min Wang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Total Variation and Euler's Elastica for Supervised Learning
Tong Lin, Hanlin Xue, Ling Wang and Hongbin Zha
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Groupwise Constrained Reconstruction for Subspace Clustering
Ruijiang Li, Bin Li, Ke Zhang, Cheng Jin and Xiangyang Xue
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On-Line Portfolio Selection with Moving Average Reversion
Bin Li and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Continuous Inverse Optimal Control with Locally Optimal Examples
Sergey Levine and Vladlen Koltun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Building high-level features using large scale unsupervised learning
Marc'aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, Quoc V. Le and Andrew Y. Ng
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Hybrid Algorithm for Convex Semidefinite Optimization
Soeren Laue
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


No-Regret Learning in Extensive-Form Games with Imperfect Recall
Marc Lanctot, Neil Burch, Martin Zinkevich, Michael Bowling and Richard G. Gibson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Abhishek Kumar, Alexandru Niculescu-mizil, Koray Kavukcuoglu and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Revisiting k-means: New Algorithms via Bayesian Nonparametrics
Brian Kulis and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Efficient Active Algorithms for Hierarchical Clustering
Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu and Aarti Singh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Subgraph Matching Kernels for Attributed Graphs
Nils Kriege and Petra Mutzel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An Iterative Locally Linear Embedding Algorithm
Deguang Kong, Chris H. Ding, Heng Huang and Feiping Nie
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Variance Function Estimation in High-dimensions
Mladen Kolar and James Sharpnack
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Consistent Covariance Selection From Data With Missing Values
Mladen Kolar and Eric P. Xing
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Fast Prediction of New Feature Utility
Hoyt Koepke and Mikhail Bilenko
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Big Data Bootstrap
Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion
Franz Kiraly and Ryota Tomioka
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Fast Computation of Subpath Kernel for Trees
Daisuke Kimura and Hisashi Kashima
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Latent Multi-group Membership Graph Model
Myunghwan Kim and Jure Leskovec
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data
Dongwoo Kim, Suin Kim and Alice Oh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Comparison-Based Learning with Rank Nets
Amin Karbasi, Stratis Ioannidis and Laurent Massoulie
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


PAC Subset Selection in Stochastic Multi-armed Bandits
Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer and Peter Stone
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models
Alfredo Kalaitzis and Neil D. Lawrence
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Large Scale Variational Bayesian Inference for Structured Scale Mixture Models
Young J. Ko and Matthias Seeger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A convex relaxation for weakly supervised classifiers
Armand Joulin and Francis R. Bach
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Object Arrangements in 3D Scenes using Human Context
Yun Jiang, Marcus Lim and Ashutosh Saxena
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound
Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin and Jiawei Han
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Convex Feature Learning Formulation for Latent Task Structure Discovery
Pratik Jawanpuria and J. S. Nath
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains
Majid Janzamin and Animashree Anandkumar
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Clustering using Max-norm Constrained Optimization
Ali Jalali and Nathan Srebro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning the Dependence Graph of Time Series with Latent Factors
Ali Jalali and Sujay Sanghavi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Nonparametric Metadata Dependent Relational Model
Dae I. Kim, Michael Hughes and Erik B. Sudderth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models
Jean Honorio
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Quasi-Newton Methods: A New Direction
Philipp Hennig and Martin Kiefel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Difficulty of Nearest Neighbor Search
Junfeng He, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Partition Function and Random Maximum A-Posteriori Perturbations
Tamir Hazan and Tommi S. Jaakkola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Linear Regression with Limited Observation
Elad Hazan and Tomer Koren
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Projection-free Online Learning
Elad Hazan and Satyen Kale
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction
Jouni Hartikainen, Mari Seppänen and Simo Särkkä
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design
Lauren Hannah and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Cross-Domain Multitask Learning with Latent Probit Models
Shaobo Han, Xuejun Liao and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Finding Botnets Using Minimal Graph Clusterings
Peter Haider and Tobias Scheffer
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Cross Language Text Classification via Subspace Co-Regularized Multi-View Learning
Yuhong Guo and Min Xiao
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sequential Nonparametric Regression
Haijie Gu and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Conditional mean embeddings as regressors
Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil and Steffen Grünewälder
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Modelling transition dynamics in MDPs with RKHS embeddings
Guy Lever, Luca Baldassarre, Arthur Gretton, Massimiliano Pontil and Steffen Grünewälder
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
Ian Goodfellow, Yoshua Bengio and Aaron C. Courville
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Robust Multiple Manifolds Structure Learning
Dian Gong, Xuemei Zhao and Gerard Medioni
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Efficient Multiple Kernel Learning
Mehmet Gönen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Submodular Inference of Diffusion Networks from Multiple Trees
Manuel G. Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Influence Maximization in Continuous Time Diffusion Networks
Manuel G. Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Sample Complexity of Reinforcement Learning with a Generative Model
Mohammad G. Azar, Bert Kappen and Rémi Munos
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Nonparametric variational inference
Samuel Gershman, Matt Hoffman and David M. Blei
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Dantzig Selector Approach to Temporal Difference Learning
Matthieu Geist, Bruno Scherrer, Alessandro Lazaric and Mohammad Ghavamzadeh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Optimal Active Search and Surveying
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Richard Mann and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Factorized Asymptotic Bayesian Hidden Markov Models
Ryohei Fujimaki and Kohei Hayashi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An Efficient Approach to Sparse Linear Discriminant Analysis
Luis Merchante, Yves Grandvalet and Gérrad Govaert
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bounded Planning in Passive POMDPs
Roy Fox and Naftali Tishby
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Robust PCA in High-dimension: A Deterministic Approach
Jiashi Feng, Huan Xu and Shuicheng Yan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Plug-in martingales for testing exchangeability on-line
Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov and Volodya Vovk
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Clement Farabet, Camille Couprie, Laurent Najman and Yann Lecun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning the Experts for Online Sequence Prediction
Elad Eban, Aharon Birnbaum, Shai Shalev-shwartz and Amir Globerson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes
Murat Dundar, Ferit Akova, Alan Qi and Bartek Rajwa
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan, Dong Xu and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
Marthinus D. Plessis and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Policy Gradients with Variance Related Risk Criteria
Dotan D. Castro, Aviv Tamar and Shie Mannor
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Two Step CCA: A new spectral method for estimating vector models of words
Paramveer Dhillon, Jordan Rodu, Dean P. Foster and Lyle H. Ungar
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause and Joel Burdick
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Robust Classification with Adiabatic Quantum Optimization
Vasil Denchev, Nan Ding, Hartmut Neven and S.v.n. Vishwanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Consistent Multilabel Ranking through Univariate Losses
Krzysztof Dembczynski, Wojciech Kotlowski and Eyke Hüllermeier
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Off-Policy Actor-Critic
Thomas Degris, Martha White and Richard S. Sutton
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training
Aaron Defazio and Tibério S. Caetano
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
Jesse Davis, Vitor S. Costa, Peggy Peissig, Michael Caldwell, Elizabeth Berg and David Page
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Feature Selection via Probabilistic Outputs
Andrea Danyluk and Nicholas Arnosti
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Manifold Relevance Determination
Andreas Damianou, Carl Ek, Michalis K. Titsias and Neil D. Lawrence
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Training Restricted Boltzmann Machines on Word Observations
George Dahl, Hugo Larochelle and Ryan P. Adams
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Parameterized Skills
Bruno D. Silva, George Konidaris and Andrew G. Barto
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Adaptive Regularization for Weight Matrices
Koby Crammer and Gal Chechik
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Kernelized Stochastic Batch Perceptron
Andrew Cotter, Shai Shalev-shwartz and Nathan Srebro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Bo Chen, Andreas Krause and Rui M. Castro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An Online Boosting Algorithm with Theoretical Justifications
Shang-tse Chen, Hsuan-tien Lin and Chi-jen Lu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Communications Inspired Linear Discriminant Analysis
Minhua Chen, William Carson, Miguel Rodrigues, Robert Calderbank and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling
Changyou Chen, Nan Ding and Wray Buntine
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Fei Sha and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Convergence Rates for Differentially Private Statistical Estimation
Kamalika Chaudhuri and Daniel J. Hsu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Active Learning for Matching Problems
Laurent Charlin, Craig Boutilier and Richard S. Zemel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Efficient Structured Sparse Models
Alex Bronstein, Pablo Sprechmann and Guillermo Sapiro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Conditional Cointegration
Chris Bracegirdle and David Barber
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
Kendrick Boyd, Vitor S. Costa, Jesse Davis and David Page
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On Local Regret
Michael Bowling and Martin Zinkevich
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-lewandowski, Yoshua Bengio and Pascal Vincent
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Gaussian Process Quantile Regression using Expectation Propagation
Alexis Boukouvalas, Remi Barillec and Dan Cornford
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs
Giorgos Borboudakis and Ioannis Tsamardinos
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Two-Manifold Problems with Applications to Nonlinear System Identification
Byron Boots and Geoffrey J. Gordon
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Discriminative Probabilistic Prototype Learning
Antonio Robles-kelly and Edwin V. Bonilla
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Summarizing topical content with word frequency and exclusivity
Jonathan Bischof and Edoardo M. Airoldi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Poisoning Attacks against Support Vector Machines
Battista Biggio, Blaine Nelson and Pavel Laskov
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Canonical Trends: Detecting Trend Setters in Web Data
Felix Biessmann, Jens-michalis Papaioannou, Andreas Harth and Mikio L. Braun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Fast classification using sparse decision DAGs
Djalel Benbouzid, Balázs Kégl and Róbert Busa-fekete
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss
Shai Ben-david, David Loker, Nathan Srebro and Karthik Sridharan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Similarity Learning for Provably Accurate Sparse Linear Classification
Aurelien Bellet, Amaury Habrard and Marc Sebban
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An adaptive algorithm for finite stochastic partial monitoring
Gabor Bartok, Navid Zolghadr and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Local Loss Optimization in Operator Models: A New Insight into Spectral Learning
Borja Balle, Ariadna Quattoni and Xavier Carreras
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The Landmark Selection Method for Multiple Output Prediction
Krishnakumar Balasubramanian and Guy Lebanon
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sparse Additive Functional and Kernel CCA
Sivaraman Balakrishnan, Kriti Puniyani and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka and John Guiver
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Equivalence between Herding and Conditional Gradient Algorithms
Simon Lacoste-julien, Francis R. Bach and Guillaume R. Obozinski
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Hybrid Batch Bayesian Optimization
Javad Azimi, Ali Jalali and Xiaoli Zhang-fern
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Batch Active Learning via Coordinated Matching
Javad Azimi, Alan Fern, Xiaoli Zhang-fern, Glencora Borradaile and Brent Heeringa
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization
Haim Avron, Satyen Kale, Vikas Sindhwani and Shiva P. Kasiviswanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Decoupling Exploration and Exploitation in Multi-Armed Bandits
Orly Avner, Shie Mannor and Ohad Shamir
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Statistical linear estimation with penalized estimators: an application to reinforcement learning
Bernardo A. Pires and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
Raman Arora, Ofer Dekel and Ambuj Tewari
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Near-Optimal BRL using Optimistic Local Transitions
Mauricio Araya, Olivier Buffet and Vincent Thomas
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Shortest path distance in random k-nearest neighbor graphs
Morteza Alamgir and Ulrike V. Luxburg
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Sungjin Ahn, Anoop Korattikara and Max Welling
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Multi-label Subspace Ensemble
Tianyi Zhou and Dacheng Tao
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online Incremental Feature Learning with Denoising Autoencoders
Guanyu Zhou, Kihyuk Sohn and Honglak Lee
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David B. Dunson and Lawrence Carin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sparse Additive Machine
Tuo Zhao and Han Liu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang and Edward Y. Chang
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Composite Likelihood View for Multi-Label Classification
Yi Zhang and Jeff Schneider
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
Kai Zhang, Liang Lan, Zhuang Wang and Fabian Moerchen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Caoxie Zhang, Honglak Lee and Kang G. Shin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun and S.v.n. Vishwanathan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan and Shuicheng Yan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Transductive Learning of Structural SVMs via Prior Knowledge Constraints
Chun-nam Yu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari and Pradeep D. Ravikumar
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Active Learning from Multiple Knowledge Sources
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao and Jennifer G. Dy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Robust Multi-task Regression with Grossly Corrupted Observations
Huan Xu and Chenlei Leng
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis and Shie Mannor
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Primal-Dual methods for sparse constrained matrix completion
Yu Xin and Tommi Jaakkola
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Causality with Gates
John Winn
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Generalized Optimal Reverse Prediction
Martha White and Dale Schuurmans
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang and Miguel Á. Carreira-perpiñán
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Hybrid Neural Network-Latent Topic Model
Li Wan, Leo Zhu and Rob Fergus
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Q. Vu and Jing Lei
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman A. Khan and Samuel Kaski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Krylov Subspace Descent for Deep Learning
Oriol Vinyals and Daniel Povey
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning from Weak Teachers
Ruth Urner, Shai Ben-david and Ohad Shamir
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka and Morten Mørup
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast Variational Mode-Seeking
Bo Thiesson and Jingu Kim
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Structured Output Learning with High Order Loss Functions
Daniel Tarlow and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan P. Adams and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multiresolution Deep Belief Networks
Yichuan Tang and Abdel-rahman Mohamed
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lifted Variable Elimination with Arbitrary Constraints
Nima Taghipour, Daan Fierens, Jesse Davis and Hendrik Blockeel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Estimation and Selection for Topic Models
Matt Taddy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki and Masashi Sugiyama
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient and Exact MAP-MRF Inference using Branch and Bound
Min Sun, Murali Telaprolu, Honglak Lee and Silvio Savarese
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Fourier Sparse Set Functions
Peter Stobbe and Andreas Krause
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor and Manfred Opper
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li and Debasis Sengupta
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Consistency and Rates for Clustering with DBSCAN
Bharath K. Sriperumbudur and Ingo Steinwart
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Graphlet decomposition of a weighted network
Hossein A. Soufiani and Edo Airoldi
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization
Kyung-ah Sohn and Seyoung Kim
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan P. Adams and Hugo Larochelle
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Low rank continuous-space graphical models
Carl Smith, Frank Wood and Liam Paninski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Bisubmodular Maximization
Ajit P. Singh, Andrew Guillory and Jeff Bilmes
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multi-armed Bandit Problems with History
Pannagadatta K. Shivaswamy and Thorsten Joachims
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Complexity of Bethe Approximation
Jinwoo Shin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh and Alessandro Rinaldo
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Using More Data to Speed-up Training Time
Shai Shalev-shwartz, Ohad Shamir and Eran Tromer
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger and Guillaume Bouchard
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann and Kristian Kersting
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Särkkä and Jouni Hartikainen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh S. Saluja, Priya K. Sundararajan and Ole J. Mengshoel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Local Anomaly Detection
Venkatesh Saligrama and Manqi Zhao
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham M. Kakade and Dean P. Foster
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera-paredes, Andreas Argyriou, Nadia Berthouze and Massimiliano Pontil
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Universal Measurement Bounds for Structured Sparse Signal Recovery
Nikhil S. Rao, Ben Recht and Robert D. Nowak
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Constrained 1-Spectral Clustering
Syama S. Rangapuram and Matthias Hein
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar and Shivani Agarwal
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola and Yann Lecun
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Nonparametric Estimation of Conditional Information and Divergences
Barnabás Póczos and Jeff G. Schneider
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Luján and Gavin Brown
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios A. Pnevmatikakis and Liam Paninski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Part {\&} Clamp: Efficient Structured Output Learning
Patrick Pletscher and Cheng S. Ong
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher and Pushmeet Kohli
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro and Jinbo Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny and Jochen Garcke
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Stick-Breaking Beta Processes and the Poisson Process
John W. Paisley, David M. Blei and Michael I. Jordan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis
Zhijian Ou and Yang Zhang
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Quadrature for Ratios
Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain and Neale Gibson
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolò Cesa-bianchi and Claudio Gentile
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer G. Dy and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Maximum Margin Temporal Clustering
Minh H. Nguyen and Fernando Torre
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, András György and Csaba Szepesvári
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Deep Boltzmann Machines as Feed-Forward Hierarchies
Grégoire Montavon, Mikio L. Braun and Klaus-robert Müller
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lifted Linear Programming
Martin Mladenov, Babak Ahmadi and Kristian Kersting
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Max-Margin Min-Entropy Models
Kevin Miller, M. P. Kumar, Benjamin Packer, Danny Goodman and Daphne Koller
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman and Yair Weiss
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou and Stefan Schaal
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen and Alexander Ilin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models
Jörg Lücke and Marc Henniges
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer and Amir Globerson
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine A. Mccarty, Peggy L. Peissig, Elizabeth S. Burnside and David Page
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu and Shuicheng Yan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin and John Iii
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe and John Shawe-taylor
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Hypergraph Clustering
Marius Leordeanu and Cristian Sminchisescu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Françcois Laviolette and Mario Marchand
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein and Marc Toussaint
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Z. Kolter and Tommi Jaakkola
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Marginal Regression For Multitask Learning
Mladen Kolar and Han Liu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multiple Texture Boltzmann Machines
Jyri J. Kivinen and Christopher Williams
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Regression for sets of polynomial equations
Franz J. Király, Paul V. Bünau, Jan S. Müller, Duncan Blythe, Frank C. Meinecke and Klaus-robert Müller
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Classifier Combination
Hyun-chul Kim and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad E. Khan, Shakir Mohamed, Benjamin M. Marlin and Kevin P. Murphy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary and Philippe Preux
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappé and Aurélien Garivier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Random Feature Maps for Dot Product Kernels
Purushottam Kar and Harish Karnick
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher C. Johnson, Ali Jalali and Pradeep D. Ravikumar
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Detecting Network Cliques with Radon Basis Pursuit
Xiaoye Jiang, Yuan Yao, Han Liu and Leonidas J. Guibas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji and Jiawei Han
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda and Hiroshi Sawada
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish and Guillermo A. Cecchi
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Stochastic Bandit Based on Empirical Moments
Junya Honda and Akimichi Takemura
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Kernel Topic Models
Philipp Hennig, David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior
Fares Hedayati and Peter L. Bartlett
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Evaluation of marginal likelihoods via the density of states
Michael Habeck
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Locality Preserving Feature Learning
Quanquan Gu, Marina Danilevsky, Zhenhui Li and Jiawei Han
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorczyk and Dirk Husmeier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alexander Grubb and Drew Bagnell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg and Doina Precup
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Scalable Inference on Kingman's Coalescent using Pair Similarity
Dilan Görür, Levi Boyles and Max Welling
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Regularization Paths with Guarantees for Convex Semidefinite Optimization
Joachim Giesen, Martin Jaggi and Sören Laue
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


UPAL: Unbiased Pool Based Active Learning
Ravi Ganti and Alexander G. Gray
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Hierarchical Latent Dictionaries for Models of Brain Activation
Alona Fyshe, Emily B. Fox, David B. Dunson and Tom M. Mitchell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Factorized Asymptotic Bayesian Inference for Mixture Modeling
Ryohei Fujimaki and Satoshi Morinaga
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields
Antonino Freno
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


No Internal Regret via Neighborhood Watch
Dean P. Foster and Alexander Rakhlin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


High-Rank Matrix Completion
Brian Eriksson, Laura Balzano and Robert Nowak
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Statistical test for consistent estimation of causal effects in linear non-Gaussian models
Doris Entner, Patrik O. Hoyer and Peter Spirtes
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lightning-speed Structure Learning of Nonlinear Continuous Networks
Gal Elidan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Copula Network Classifiers (CNCs)
Gal Elidan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert J. Durrant and Ata Kabán
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lifted coordinate descent for learning with trace-norm regularization
Miroslav Dudík, Za\"ıd Harchaoui and Jérôme Malick
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Generic Methods for Optimization-Based Modeling
Justin Domke
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang and Adam Woznica
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer S. Dhillon, S. S. Keerthi, Kedar Bellare, Olivier Chapelle and Sundararajan Sellamanickam
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
Ofer Dekel and Ohad Shamir
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Protocols for Learning Classifiers on Distributed Data
Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian and Hal Daume
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann and Jan R. Peters
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration
Arnak S. Dalalyan and Olivier Collier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani and Carl E. Rasmussen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
Bryan Conroy and Paul Sajda
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Minimax hypothesis testing for curve registration
Olivier Collier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online Clustering with Experts
Anna Choromanska and Claire Monteleoni
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem and Zhixiang Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee and Jinbo Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Structured Sparse Canonical Correlation Analysis
Xi Chen, Han Liu and Jaime G. Carbonell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Information Theoretic Model Validation for Spectral Clustering
Morteza H. Chehreghani, Alberto G. Busetto and Joachim M. Buhmann
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier and Rémi Munos
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Optimistic planning for Markov decision processes
Lucian Busoniu and Rémi Munos
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus A. Brubaker, Mathieu Salzmann and Raquel Urtasun
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sample Complexity of Composite Likelihood
Joseph K. Bradley and Carlos Guestrin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston and Yoshua Bengio
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-zvi and Thomas Lengauer
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
Wei Bian, Bo Xie and Dacheng Tao
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Controlling Selection Bias in Causal Inference
Elias Bareinboim and Judea Pearl
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Adaptive Metropolis with Online Relabeling
Rémi Bardenet, Olivier Cappé, Gersende Fort and Balázs Kégl
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou and Massimiliano Pontil
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection
Guha Balakrishnan and Zeeshan Syed
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Minimax rates for homology inference
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh and Larry A. Wasserman
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew and Jeff Bilmes
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan and Milos Hauskrecht
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sparse Higher-Order Principal Components Analysis
Genevera Allen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford and Robert E. Schapire
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix V. Agakov, Peter Orchard and Amos J. Storkey
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál and Csaba Szepesvári
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012