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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