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All publications in 2011
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Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 24, 2011


Exploiting spatial overlap to efficiently compute appearance distances between image windows
Bogdan Alexe, Viviana Petrescu and Vittorio Ferrari
Advances in Neural Information Processing Systems 24, 2011


High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-ling Loh and Martin J. Wainwright
Advances in Neural Information Processing Systems 24, 2011


Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti and Andreas Ruttor
Advances in Neural Information Processing Systems 24, 2011


Kernel Embeddings of Latent Tree Graphical Models
Le Song, Eric P. Xing and Ankur P. Parikh
Advances in Neural Information Processing Systems 24, 2011


Predicting response time and error rates in visual search
Bo Chen, Vidhya Navalpakkam and Pietro Perona
Advances in Neural Information Processing Systems 24, 2011


Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Nico Goernitz, Christian K. Widmer, Georg Zeller, Andre Kahles, Gunnar Rätsch and Sören Sonnenburg
Advances in Neural Information Processing Systems 24, 2011


Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Iasonas Kokkinos
Advances in Neural Information Processing Systems 24, 2011


Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua L. Moore and Arnd C. König
Advances in Neural Information Processing Systems 24, 2011


EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
Feng Yan and Yuan Qi
Advances in Neural Information Processing Systems 24, 2011


Demixed Principal Component Analysis
Wieland Brendel, Ranulfo Romo and Christian K. Machens
Advances in Neural Information Processing Systems 24, 2011


On the Universality of Online Mirror Descent
Nati Srebro, Karthik Sridharan and Ambuj Tewari
Advances in Neural Information Processing Systems 24, 2011


Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
Joni K. Pajarinen and Jaakko Peltonen
Advances in Neural Information Processing Systems 24, 2011


Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko and Rémi Munos
Advances in Neural Information Processing Systems 24, 2011


Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes, Joerg Bornschein and Joerg Luecke
Advances in Neural Information Processing Systems 24, 2011


Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad and Nicholas Bartlett
Advances in Neural Information Processing Systems 24, 2011


A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D. Abernethy and Rafael M. Frongillo
Advances in Neural Information Processing Systems 24, 2011


Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z. Khan, Pascal Poupart and John-mark M. Agosta
Advances in Neural Information Processing Systems 24, 2011


Inferring spike-timing-dependent plasticity from spike train data
Ian Stevenson and Konrad Koerding
Advances in Neural Information Processing Systems 24, 2011


A reinterpretation of the policy oscillation phenomenon in approximate policy iteration
Paul Wagner
Advances in Neural Information Processing Systems 24, 2011


Query-Aware MCMC
Michael L. Wick and Andrew Mccallum
Advances in Neural Information Processing Systems 24, 2011


Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney and Aniruddha Bhargava
Advances in Neural Information Processing Systems 24, 2011


Algorithms for Hyper-Parameter Optimization
James S. Bergstra, Rémi Bardenet, Yoshua Bengio and Balázs Kégl
Advances in Neural Information Processing Systems 24, 2011


Convergent Fitted Value Iteration with Linear Function Approximation
Daniel J. Lizotte
Advances in Neural Information Processing Systems 24, 2011


Selecting Receptive Fields in Deep Networks
Adam Coates and Andrew Y. Ng
Advances in Neural Information Processing Systems 24, 2011


Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani and Aurelie C. Lozano
Advances in Neural Information Processing Systems 24, 2011


Variational Gaussian Process Dynamical Systems
Andreas Damianou, Michalis K. Titsias and Neil D. Lawrence
Advances in Neural Information Processing Systems 24, 2011


On Tracking The Partition Function
Guillaume Desjardins, Yoshua Bengio and Aaron C. Courville
Advances in Neural Information Processing Systems 24, 2011


Continuous-Time Regression Models for Longitudinal Networks
Duy Q. Vu, David Hunter, Padhraic Smyth and Arthur U. Asuncion
Advances in Neural Information Processing Systems 24, 2011


Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue and Carlos Guestrin
Advances in Neural Information Processing Systems 24, 2011


Gaussian process modulated renewal processes
Yee W. Teh and Vinayak Rao
Advances in Neural Information Processing Systems 24, 2011


Autonomous Learning of Action Models for Planning
Neville Mehta, Prasad Tadepalli and Alan Fern
Advances in Neural Information Processing Systems 24, 2011


Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger and John Blitzer
Advances in Neural Information Processing Systems 24, 2011


Contextual Gaussian Process Bandit Optimization
Andreas Krause and Cheng S. Ong
Advances in Neural Information Processing Systems 24, 2011


The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft and Gilles Blanchard
Advances in Neural Information Processing Systems 24, 2011


Understanding the Intrinsic Memorability of Images
Phillip Isola, Devi Parikh, Antonio Torralba and Aude Oliva
Advances in Neural Information Processing Systems 24, 2011


Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O. Perry and Michael W. Mahoney
Advances in Neural Information Processing Systems 24, 2011


Speedy Q-Learning
Mohammad Ghavamzadeh, Hilbert J. Kappen, Mohammad G. Azar and Rémi Munos
Advances in Neural Information Processing Systems 24, 2011


TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris, Scott Niekum and Philip S. Thomas
Advances in Neural Information Processing Systems 24, 2011


Quasi-Newton Methods for Markov Chain Monte Carlo
Yichuan Zhang and Charles A. Sutton
Advances in Neural Information Processing Systems 24, 2011


A rational model of causal inference with continuous causes
Thomas L. Griffiths and Michael James
Advances in Neural Information Processing Systems 24, 2011


Fast and Accurate k-means For Large Datasets
Michael Shindler, Alex Wong and Adam W. Meyerson
Advances in Neural Information Processing Systems 24, 2011


Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
Matthias Hein and Simon Setzer
Advances in Neural Information Processing Systems 24, 2011


Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P. Reichert, Peggy Series and Amos J. Storkey
Advances in Neural Information Processing Systems 24, 2011


Practical Variational Inference for Neural Networks
Alex Graves
Advances in Neural Information Processing Systems 24, 2011


Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Miguel Lázaro-gredilla and Michalis K. Titsias
Advances in Neural Information Processing Systems 24, 2011


Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar and Mátyás A. Sustik
Advances in Neural Information Processing Systems 24, 2011


Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani and Thomas L. Griffiths
Advances in Neural Information Processing Systems 24, 2011


Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Csaba Szepesvári and David Tax
Advances in Neural Information Processing Systems 24, 2011


Analytical Results for the Error in Filtering of Gaussian Processes
Alex K. Susemihl, Ron Meir and Manfred Opper
Advances in Neural Information Processing Systems 24, 2011


The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio and Xavier Muller
Advances in Neural Information Processing Systems 24, 2011


Sparse Features for PCA-Like Linear Regression
Christos Boutsidis, Petros Drineas and Malik Magdon-ismail
Advances in Neural Information Processing Systems 24, 2011


Evaluating the inverse decision-making approach to preference learning
Alan Jern, Christopher G. Lucas and Charles Kemp
Advances in Neural Information Processing Systems 24, 2011


Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen and Cédric Févotte
Advances in Neural Information Processing Systems 24, 2011


Blending Autonomous Exploration and Apprenticeship Learning
Thomas J. Walsh, Daniel K. Hewlett and Clayton T. Morrison
Advances in Neural Information Processing Systems 24, 2011


An Empirical Evaluation of Thompson Sampling
Olivier Chapelle and Lihong Li
Advances in Neural Information Processing Systems 24, 2011


Active Ranking using Pairwise Comparisons
Kevin G. Jamieson and Robert Nowak
Advances in Neural Information Processing Systems 24, 2011


Randomized Algorithms for Comparison-based Search
Dominique Tschopp, Suhas Diggavi, Payam Delgosha and Soheil Mohajer
Advances in Neural Information Processing Systems 24, 2011


Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric and Sébastien Bubeck
Advances in Neural Information Processing Systems 24, 2011


A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C. Stewart, Shauki A. Elasaad, Krishna V. Shenoy and Kwabena A. Boahen
Advances in Neural Information Processing Systems 24, 2011


Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Joseph Keshet and David A. Mcallester
Advances in Neural Information Processing Systems 24, 2011


Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Korattikara, Deva Ramanan and Max Welling
Advances in Neural Information Processing Systems 24, 2011


Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume R. Obozinski and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard, Gyemin Lee and Clayton Scott
Advances in Neural Information Processing Systems 24, 2011


The Fixed Points of Off-Policy TD
J. Z. Kolter
Advances in Neural Information Processing Systems 24, 2011


Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar and Ambuj Tewari
Advances in Neural Information Processing Systems 24, 2011


Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali T. Cemgil and Umut Simsekli
Advances in Neural Information Processing Systems 24, 2011


Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner and Andreas Krause
Advances in Neural Information Processing Systems 24, 2011


Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel, Ohad Shamir, Nati Srebro and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 24, 2011


Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian and Nuno Vasconcelos
Advances in Neural Information Processing Systems 24, 2011


Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
Liefeng Bo, Xiaofeng Ren and Dieter Fox
Advances in Neural Information Processing Systems 24, 2011


Prismatic Algorithm for Discrete D.C. Programming Problem
Yoshinobu Kawahara and Takashi Washio
Advances in Neural Information Processing Systems 24, 2011


Confidence Sets for Network Structure
David S. Choi, Patrick J. Wolfe and Edoardo M. Airoldi
Advances in Neural Information Processing Systems 24, 2011


PiCoDes: Learning a Compact Code for Novel-Category Recognition
Alessandro Bergamo, Lorenzo Torresani and Andrew W. Fitzgibbon
Advances in Neural Information Processing Systems 24, 2011


Active Learning with a Drifting Distribution
Liu Yang
Advances in Neural Information Processing Systems 24, 2011


Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
Zuoguan Wang, Gerwin Schalk and Qiang Ji
Advances in Neural Information Processing Systems 24, 2011


Learning to Learn with Compound HD Models
Antonio Torralba, Joshua B. Tenenbaum and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 24, 2011


Priors over Recurrent Continuous Time Processes
Ardavan Saeedi and Alexandre Bouchard-côté
Advances in Neural Information Processing Systems 24, 2011


Active learning of neural response functions with Gaussian processes
Mijung Park, Greg Horwitz and Jonathan W. Pillow
Advances in Neural Information Processing Systems 24, 2011


How biased are maximum entropy models?
Jakob H. Macke, Iain Murray and Peter E. Latham
Advances in Neural Information Processing Systems 24, 2011


Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song and Tong Zhang
Advances in Neural Information Processing Systems 24, 2011


Sparse Estimation with Structured Dictionaries
David P. Wipf
Advances in Neural Information Processing Systems 24, 2011


Predicting Dynamic Difficulty
Olana Missura and Thomas Gärtner
Advances in Neural Information Processing Systems 24, 2011


Similarity-based Learning via Data Driven Embeddings
Purushottam Kar and Prateek Jain
Advances in Neural Information Processing Systems 24, 2011


MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi and Kee-eung Kim
Advances in Neural Information Processing Systems 24, 2011


The Doubly Correlated Nonparametric Topic Model
Dae I. Kim and Erik B. Sudderth
Advances in Neural Information Processing Systems 24, 2011


Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Maneesh Bhand, Ritvik Mudur, Bipin Suresh, Andrew Saxe and Andrew Y. Ng
Advances in Neural Information Processing Systems 24, 2011


A Model for Temporal Dependencies in Event Streams
Asela Gunawardana, Christopher Meek and Puyang Xu
Advances in Neural Information Processing Systems 24, 2011


Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh and Devavrat Shah
Advances in Neural Information Processing Systems 24, 2011


Policy Gradient Coagent Networks
Philip S. Thomas
Advances in Neural Information Processing Systems 24, 2011


On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali, Christopher C. Johnson and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 24, 2011


Sparse recovery by thresholded non-negative least squares
Martin Slawski and Matthias Hein
Advances in Neural Information Processing Systems 24, 2011


Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V. Messias, Matthijs Spaan and Pedro U. Lima
Advances in Neural Information Processing Systems 24, 2011


Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy and Tony Jebara
Advances in Neural Information Processing Systems 24, 2011


Learning a Distance Metric from a Network
Blake Shaw, Bert Huang and Tony Jebara
Advances in Neural Information Processing Systems 24, 2011


A concave regularization technique for sparse mixture models
Martin O. Larsson and Johan Ugander
Advances in Neural Information Processing Systems 24, 2011


Robust Lasso with missing and grossly corrupted observations
Nasser M. Nasrabadi, Trac D. Tran and Nam Nguyen
Advances in Neural Information Processing Systems 24, 2011


Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama and Aapo Hyvärinen
Advances in Neural Information Processing Systems 24, 2011


High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan and Alan S. Willsky
Advances in Neural Information Processing Systems 24, 2011


An Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M. Olmos, Luis Salamanca, Juan Fuentes and Fernando Pérez-cruz
Advances in Neural Information Processing Systems 24, 2011


Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Hsiu-chin Lin, Vickie Baracos, Russell Greiner and Chun-nam J. Yu
Advances in Neural Information Processing Systems 24, 2011


Variance Reduction in Monte-Carlo Tree Search
Joel Veness, Marc Lanctot and Michael Bowling
Advances in Neural Information Processing Systems 24, 2011


Probabilistic Joint Image Segmentation and Labeling
Adrian Ion, Joao Carreira and Cristian Sminchisescu
Advances in Neural Information Processing Systems 24, 2011


Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum and Andrew G. Barto
Advances in Neural Information Processing Systems 24, 2011


Ranking annotators for crowdsourced labeling tasks
Vikas C. Raykar and Shipeng Yu
Advances in Neural Information Processing Systems 24, 2011


Bayesian Bias Mitigation for Crowdsourcing
Fabian L. Wauthier and Michael I. Jordan
Advances in Neural Information Processing Systems 24, 2011


An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael C. Mozer, Benjamin Link and Harold Pashler
Advances in Neural Information Processing Systems 24, 2011


Sparse Recovery with Brownian Sensing
Alexandra Carpentier, Odalric-ambrym Maillard and Rémi Munos
Advances in Neural Information Processing Systems 24, 2011


Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Kenji Fukumizu, Gert R. Lanckriet and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 24, 2011


Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Alexander Rakhlin, Karthik Sridharan and Ambuj Tewari
Advances in Neural Information Processing Systems 24, 2011


Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter and Cédric Archambeau
Advances in Neural Information Processing Systems 24, 2011


Transfer from Multiple MDPs
Alessandro Lazaric and Marcello Restelli
Advances in Neural Information Processing Systems 24, 2011


Kernel Bayes' Rule
Kenji Fukumizu, Le Song and Arthur Gretton
Advances in Neural Information Processing Systems 24, 2011


Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli, Richard Maclin and Jude W. Shavlik
Advances in Neural Information Processing Systems 24, 2011


A Non-Parametric Approach to Dynamic Programming
Oliver B. Kroemer and Jan R. Peters
Advances in Neural Information Processing Systems 24, 2011


Learning to Search Efficiently in High Dimensions
Zhen Li, Huazhong Ning, Liangliang Cao, Tong Zhang, Yihong Gong and Thomas S. Huang
Advances in Neural Information Processing Systems 24, 2011


Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A. Knowles and Tom Minka
Advances in Neural Information Processing Systems 24, 2011


Bayesian Spike-Triggered Covariance Analysis
Il M. Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 24, 2011


PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John S. Shawe-taylor, Ronald Ortner and François Laviolette
Advances in Neural Information Processing Systems 24, 2011


Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan and Aram Galstyan
Advances in Neural Information Processing Systems 24, 2011


Agnostic Selective Classification
Yair Wiener and Ran El-yaniv
Advances in Neural Information Processing Systems 24, 2011


Adaptive Hedge
Tim V. Erven, Wouter M. Koolen, Steven D. Rooij and Peter Grünwald
Advances in Neural Information Processing Systems 24, 2011


Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter, Ohad Shamir, Nati Srebro and Karthik Sridharan
Advances in Neural Information Processing Systems 24, 2011


Universal low-rank matrix recovery from Pauli measurements
Yi-kai Liu
Advances in Neural Information Processing Systems 24, 2011


Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain Matthews and Rob Fergus
Advances in Neural Information Processing Systems 24, 2011


Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen and Eric P. Xing
Advances in Neural Information Processing Systems 24, 2011


Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr and Amir Saffari
Advances in Neural Information Processing Systems 24, 2011


Multi-armed bandits on implicit metric spaces
Aleksandrs Slivkins
Advances in Neural Information Processing Systems 24, 2011


The Fast Convergence of Boosting
Matus J. Telgarsky
Advances in Neural Information Processing Systems 24, 2011


See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile and Giovanni Zappella
Advances in Neural Information Processing Systems 24, 2011


Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning
Taiji Suzuki
Advances in Neural Information Processing Systems 24, 2011


Energetically Optimal Action Potentials
Martin B. Stemmler, Biswa Sengupta, Simon Laughlin and Jeremy Niven
Advances in Neural Information Processing Systems 24, 2011


Committing Bandits
Loc X. Bui, Ramesh Johari and Shie Mannor
Advances in Neural Information Processing Systems 24, 2011


Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang and Jeff G. Schneider
Advances in Neural Information Processing Systems 24, 2011


Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts and Ingo Steinwart
Advances in Neural Information Processing Systems 24, 2011


Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli and Chang D. Yoo
Advances in Neural Information Processing Systems 24, 2011


Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
Advances in Neural Information Processing Systems 24, 2011


Submodular Multi-Label Learning
James Petterson and Tibério S. Caetano
Advances in Neural Information Processing Systems 24, 2011


Learning person-object interactions for action recognition in still images
Vincent Delaitre, Josef Sivic and Ivan Laptev
Advances in Neural Information Processing Systems 24, 2011


t-divergence Based Approximate Inference
Nan Ding, Yuan Qi and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 24, 2011


Pylon Model for Semantic Segmentation
Victor Lempitsky, Andrea Vedaldi and Andrew Zisserman
Advances in Neural Information Processing Systems 24, 2011


Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth and David M. Blei
Advances in Neural Information Processing Systems 24, 2011


Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek and Raquel Urtasun
Advances in Neural Information Processing Systems 24, 2011


Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas L. Roux and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Bilge Mutlu and Xiaojin Zhu
Advances in Neural Information Processing Systems 24, 2011


A blind sparse deconvolution method for neural spike identification
Chaitanya Ekanadham, Daniel Tranchina and Eero P. Simoncelli
Advances in Neural Information Processing Systems 24, 2011


Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher and Eric Reiman
Advances in Neural Information Processing Systems 24, 2011


Sequence learning with hidden units in spiking neural networks
Johanni Brea, Walter Senn and Jean-pascal Pfister
Advances in Neural Information Processing Systems 24, 2011


Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 24, 2011


An Exact Algorithm for F-Measure Maximization
Krzysztof J. Dembczynski, Willem Waegeman, Weiwei Cheng and Eyke Hüllermeier
Advances in Neural Information Processing Systems 24, 2011


Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, Lawrence Carin and David B. Dunson
Advances in Neural Information Processing Systems 24, 2011


On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
Guy Broeck
Advances in Neural Information Processing Systems 24, 2011


From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi, Richard Naud and Wulfram Gerstner
Advances in Neural Information Processing Systems 24, 2011


Bayesian Partitioning of Large-Scale Distance Data
David Adametz and Volker Roth
Advances in Neural Information Processing Systems 24, 2011


Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao, Juergen Gall, Luc V. Gool and Raquel Urtasun
Advances in Neural Information Processing Systems 24, 2011


Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


Gaussian Process Training with Input Noise
Andrew Mchutchon and Carl E. Rasmussen
Advances in Neural Information Processing Systems 24, 2011


Boosting with Maximum Adaptive Sampling
Charles Dubout and Francois Fleuret
Advances in Neural Information Processing Systems 24, 2011


Portmanteau Vocabularies for Multi-Cue Image Representation
Fahad S. Khan, Joost Weijer, Andrew D. Bagdanov and Maria Vanrell
Advances in Neural Information Processing Systems 24, 2011


Algorithms and hardness results for parallel large margin learning
Phil Long and Rocco Servedio
Advances in Neural Information Processing Systems 24, 2011


Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
Cristina Savin, Peter Dayan and Máté Lengyel
Advances in Neural Information Processing Systems 24, 2011


Structured Learning for Cell Tracking
Xinghua Lou and Fred A. Hamprecht
Advances in Neural Information Processing Systems 24, 2011


Monte Carlo Value Iteration with Macro-Actions
Zhan Lim, Lee Sun and Daniel J. Hsu
Advances in Neural Information Processing Systems 24, 2011


Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier and Rémi Munos
Advances in Neural Information Processing Systems 24, 2011


Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-bonhage and Andrzej S. Cichocki
Advances in Neural Information Processing Systems 24, 2011


On the accuracy of l1-filtering of signals with block-sparse structure
Fatma K. Karzan, Arkadi S. Nemirovski, Boris T. Polyak and Anatoli Juditsky
Advances in Neural Information Processing Systems 24, 2011


Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li and Eric P. Xing
Advances in Neural Information Processing Systems 24, 2011


Greedy Model Averaging
Dong Dai and Tong Zhang
Advances in Neural Information Processing Systems 24, 2011


Beating SGD: Learning SVMs in Sublinear Time
Elad Hazan, Tomer Koren and Nati Srebro
Advances in Neural Information Processing Systems 24, 2011


Composite Multiclass Losses
Elodie Vernet, Mark D. Reid and Robert C. Williamson
Advances in Neural Information Processing Systems 24, 2011


Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 24, 2011


A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles Lopes, Laurent Jacob and Martin J. Wainwright
Advances in Neural Information Processing Systems 24, 2011


Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 24, 2011


Active dendrites: adaptation to spike-based communication
Balazs B. Ujfalussy and Máté Lengyel
Advances in Neural Information Processing Systems 24, 2011


ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-shwartz, Yonatan Wexler and Amnon Shashua
Advances in Neural Information Processing Systems 24, 2011


Metric Learning with Multiple Kernels
Jun Wang, Huyen T. Do, Adam Woznica and Alexandros Kalousis
Advances in Neural Information Processing Systems 24, 2011


Collective Graphical Models
Daniel R. Sheldon and Thomas G. Dietterich
Advances in Neural Information Processing Systems 24, 2011


Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah Goodman, Andreas Stuhlmueller and Jeffrey M. Siskind
Advances in Neural Information Processing Systems 24, 2011


Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni and Tamara L. Berg
Advances in Neural Information Processing Systems 24, 2011


Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan and Ameet Talwalkar
Advances in Neural Information Processing Systems 24, 2011


Sparse Filtering
Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar, Pang W. Koh and Andrew Y. Ng
Advances in Neural Information Processing Systems 24, 2011


Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor and Yann L. Cun
Advances in Neural Information Processing Systems 24, 2011


Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory and Jeff A. Bilmes
Advances in Neural Information Processing Systems 24, 2011


Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi, Alan Fern and Xiaoli Z. Fern
Advances in Neural Information Processing Systems 24, 2011


SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E. Waters, Aswin C. Sankaranarayanan and Richard Baraniuk
Advances in Neural Information Processing Systems 24, 2011


Approximating Semidefinite Programs in Sublinear Time
Dan Garber and Elad Hazan
Advances in Neural Information Processing Systems 24, 2011


Group Anomaly Detection using Flexible Genre Models
Liang Xiong, Barnabás Póczos and Jeff G. Schneider
Advances in Neural Information Processing Systems 24, 2011


Active Classification based on Value of Classifier
Tianshi Gao and Daphne Koller
Advances in Neural Information Processing Systems 24, 2011


Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr, Prasad Tadepalli, Thomas G. Dietterich and Xiaoli Z. Fern
Advances in Neural Information Processing Systems 24, 2011


Structure Learning for Optimization
Shulin Yang and Ali Rahimi
Advances in Neural Information Processing Systems 24, 2011


Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu, Sham M. Kakade and Alexander Rakhlin
Advances in Neural Information Processing Systems 24, 2011


Lower Bounds for Passive and Active Learning
Maxim Raginsky and Alexander Rakhlin
Advances in Neural Information Processing Systems 24, 2011


ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam and Andrew Y. Ng
Advances in Neural Information Processing Systems 24, 2011


Complexity of Inference in Latent Dirichlet Allocation
David Sontag and Dan Roy
Advances in Neural Information Processing Systems 24, 2011


Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
Yan Karklin and Eero P. Simoncelli
Advances in Neural Information Processing Systems 24, 2011


Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C. Perrault-joncas and Marina Meila
Advances in Neural Information Processing Systems 24, 2011


Probabilistic amplitude and frequency demodulation
Richard Turner and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi and Hisashi Kashima
Advances in Neural Information Processing Systems 24, 2011


The Kernel Beta Process
Lu Ren, Yingjian Wang, Lawrence Carin and David B. Dunson
Advances in Neural Information Processing Systems 24, 2011


Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy and Aarti Singh
Advances in Neural Information Processing Systems 24, 2011


Learning Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski and Manfred K. Warmuth
Advances in Neural Information Processing Systems 24, 2011


On the Analysis of Multi-Channel Neural Spike Data
Bo Chen, David E. Carlson and Lawrence Carin
Advances in Neural Information Processing Systems 24, 2011


Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Varun Kanade, Ohad Shamir and Adam Kalai
Advances in Neural Information Processing Systems 24, 2011


Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
Vijay Mahadevan, Chi W. Wong, Jose C. Pereira, Tom Liu, Nuno Vasconcelos and Lawrence K. Saul
Advances in Neural Information Processing Systems 24, 2011


Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo and Aarti Singh
Advances in Neural Information Processing Systems 24, 2011


Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen J. Xiang, Hao Xu and Peter J. Ramadge
Advances in Neural Information Processing Systems 24, 2011


Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan and Satyen Kale
Advances in Neural Information Processing Systems 24, 2011


Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 24, 2011


Distributed Delayed Stochastic Optimization
Alekh Agarwal and John C. Duchi
Advances in Neural Information Processing Systems 24, 2011


Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
Xinggang Wang, Xiang Bai, Xingwei Yang, Wenyu Liu and Longin J. Latecki
Advances in Neural Information Processing Systems 24, 2011


Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan and Ran El-yaniv
Advances in Neural Information Processing Systems 24, 2011


Information Rates and Optimal Decoding in Large Neural Populations
Kamiar R. Rad and Liam Paninski
Advances in Neural Information Processing Systems 24, 2011


Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin and Yusu Wang
Advances in Neural Information Processing Systems 24, 2011


Prediction strategies without loss
Michael Kapralov and Rina Panigrahy
Advances in Neural Information Processing Systems 24, 2011


Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee W. Teh, Charles Blundell and Lloyd Elliott
Advances in Neural Information Processing Systems 24, 2011


Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity
Nir Ailon
Advances in Neural Information Processing Systems 24, 2011


Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D. Manning and Andrew Y. Ng
Advances in Neural Information Processing Systems 24, 2011


Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti, David Liben-nowell and Jon M. Kleinberg
Advances in Neural Information Processing Systems 24, 2011


Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness
Rémi Munos
Advances in Neural Information Processing Systems 24, 2011


Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
Emin Orhan and Robert A. Jacobs
Advances in Neural Information Processing Systems 24, 2011


Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf and Peter V. Gehler
Advances in Neural Information Processing Systems 24, 2011


Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


A Machine Learning Approach to Predict Chemical Reactions
Matthew A. Kayala and Pierre F. Baldi
Advances in Neural Information Processing Systems 24, 2011


Learning unbelievable probabilities
Xaq S. Pitkow, Yashar Ahmadian and Ken D. Miller
Advances in Neural Information Processing Systems 24, 2011


k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Advances in Neural Information Processing Systems 24, 2011


Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre S. Barreto, Doina Precup and Joelle Pineau
Advances in Neural Information Processing Systems 24, 2011


Why The Brain Separates Face Recognition From Object Recognition
Joel Z. Leibo, Jim Mutch and Tomaso Poggio
Advances in Neural Information Processing Systems 24, 2011


Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou, Jianhui Chen and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Benjamin Recht, Christopher Re, Stephen Wright and Feng Niu
Advances in Neural Information Processing Systems 24, 2011


From Bandits to Experts: On the Value of Side-Observations
Shie Mannor and Ohad Shamir
Advances in Neural Information Processing Systems 24, 2011


Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A. Kurtek, Anuj Srivastava and Wei Wu
Advances in Neural Information Processing Systems 24, 2011


Shallow vs. Deep Sum-Product Networks
Olivier Delalleau and Yoshua Bengio
Advances in Neural Information Processing Systems 24, 2011


A Convergence Analysis of Log-Linear Training
Simon Wiesler and Hermann Ney
Advances in Neural Information Processing Systems 24, 2011


Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman, Moritz N. Helmstaedter, Winfried Denk and H. S. Seung
Advances in Neural Information Processing Systems 24, 2011


On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes and Bernhard Schölkopf
Advances in Neural Information Processing Systems 24, 2011


Efficient inference in matrix-variate Gaussian models with \iid observation noise
Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence and Karsten M. Borgwardt
Advances in Neural Information Processing Systems 24, 2011


Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha and Sung J. Hwang
Advances in Neural Information Processing Systems 24, 2011


Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Zhouchen Lin, Risheng Liu and Zhixun Su
Advances in Neural Information Processing Systems 24, 2011


Solving Decision Problems with Limited Information
Denis D. Maua and Cassio Campos
Advances in Neural Information Processing Systems 24, 2011


Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya and Masashi Sugiyama
Advances in Neural Information Processing Systems 24, 2011


The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto, Davide Anguita, Alessandro Ghio and Sandro Ridella
Advances in Neural Information Processing Systems 24, 2011


Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi and Masashi Sugiyama
Advances in Neural Information Processing Systems 24, 2011


Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng, Sanjeev Satheesh, Alexander C. Berg and Fei Li
Advances in Neural Information Processing Systems 24, 2011


Crowdclustering
Ryan G. Gomes, Peter Welinder, Andreas Krause and Pietro Perona
Advances in Neural Information Processing Systems 24, 2011


$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
Congcong Li, Ashutosh Saxena and Tsuhan Chen
Advances in Neural Information Processing Systems 24, 2011


Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T. Pham, Tat-jun Chin, Jin Yu and David Suter
Advances in Neural Information Processing Systems 24, 2011


Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 24, 2011


Generalized Beta Mixtures of Gaussians
Artin Armagan, Merlise Clyde and David B. Dunson
Advances in Neural Information Processing Systems 24, 2011


An ideal observer model for identifying the reference frame of objects
Joseph L. Austerweil, Abram L. Friesen and Thomas L. Griffiths
Advances in Neural Information Processing Systems 24, 2011


A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla and Wray Buntine
Advances in Neural Information Processing Systems 24, 2011


Projection onto A Nonnegative Max-Heap
Jun Liu, Liang Sun and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan and Alfred O. Hero
Advances in Neural Information Processing Systems 24, 2011


Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits
Matthias S. Keil
Advances in Neural Information Processing Systems 24, 2011


On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin and Jeff A. Bilmes
Advances in Neural Information Processing Systems 24, 2011


Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Eric Moulines and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Object Detection with Grammar Models
Ross B. Girshick, Pedro F. Felzenszwalb and David A. Mcallester
Advances in Neural Information Processing Systems 24, 2011


Semi-supervised Regression via Parallel Field Regularization
Binbin Lin, Chiyuan Zhang and Xiaofei He
Advances in Neural Information Processing Systems 24, 2011


History distribution matching method for predicting effectiveness of HIV combination therapies
Jasmina Bogojeska
Advances in Neural Information Processing Systems 24, 2011


Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F. Montufar, Johannes Rauh and Nihat Ay
Advances in Neural Information Processing Systems 24, 2011


RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal and Pierre-antoine Absil
Advances in Neural Information Processing Systems 24, 2011


Heavy-tailed Distances for Gradient Based Image Descriptors
Yangqing Jia and Trevor Darrell
Advances in Neural Information Processing Systems 24, 2011


Convergent Bounds on the Euclidean Distance
Yoonho Hwang and Hee-kap Ahn
Advances in Neural Information Processing Systems 24, 2011


Phase transition in the family of p-resistances
Morteza Alamgir and Ulrike V. Luxburg
Advances in Neural Information Processing Systems 24, 2011


Multiple Instance Filtering
Kamil A. Wnuk and Stefano Soatto
Advances in Neural Information Processing Systems 24, 2011


Differentially Private M-Estimators
Jing Lei
Advances in Neural Information Processing Systems 24, 2011


Efficient Methods for Overlapping Group Lasso
Lei Yuan, Jun Liu and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


Efficient Online Learning via Randomized Rounding
Nicolò Cesa-bianchi and Ohad Shamir
Advances in Neural Information Processing Systems 24, 2011


A Denoising View of Matrix Completion
Weiran Wang, Miguel Á. Carreira-perpiñán and Zhengdong Lu
Advances in Neural Information Processing Systems 24, 2011


Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
Advances in Neural Information Processing Systems 24, 2011


Inductive reasoning about chimeric creatures
Charles Kemp
Advances in Neural Information Processing Systems 24, 2011


Thinning Measurement Models and Questionnaire Design
Ricardo Silva
Advances in Neural Information Processing Systems 24, 2011


Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen and Ahmad Salman
Advances in Neural Information Processing Systems 24, 2011


Maximum Margin Multi-Label Structured Prediction
Christoph H. Lampert
Advances in Neural Information Processing Systems 24, 2011


Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato, Jose M. Hernández-lobato and Pierre Dupont
Advances in Neural Information Processing Systems 24, 2011


Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas and Todd Zickler
Advances in Neural Information Processing Systems 24, 2011


Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao, Hirotaka Hachiya, Gang Niu and Masashi Sugiyama
Advances in Neural Information Processing Systems 24, 2011


Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding, Grace Wahba and Xiaojin Zhu
Advances in Neural Information Processing Systems 24, 2011


Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims and Ashutosh Saxena
Advances in Neural Information Processing Systems 24, 2011


Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-son P. Le and Ziv Bar-joseph
Advances in Neural Information Processing Systems 24, 2011


Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch and Carl E. Rasmussen
Advances in Neural Information Processing Systems 24, 2011


Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky and Shigeru Shinomoto
Advances in Neural Information Processing Systems 24, 2011


Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
Shinichi Nakajima, Masashi Sugiyama and S. D. Babacan
Advances in Neural Information Processing Systems 24, 2011


Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster and Lyle H. Ungar
Advances in Neural Information Processing Systems 24, 2011


Matrix Completion for Multi-label Image Classification
Ricardo S. Cabral, Fernando Torre, Joao P. Costeira and Alexandre Bernardino
Advances in Neural Information Processing Systems 24, 2011


Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
Nobuyuki Morioka and Shin'ichi Satoh
Advances in Neural Information Processing Systems 24, 2011


Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
Advances in Neural Information Processing Systems 24, 2011


A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh, Erik Sj̦lund, Mattias H̦glund and Jens Lagergren
Advances in Neural Information Processing Systems 24, 2011


Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
Nitesh Shroff, Pavan Turaga and Rama Chellappa
Advances in Neural Information Processing Systems 24, 2011


Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si, Jian Zhang and Richard D. Lawrence
Advances in Neural Information Processing Systems 24, 2011


Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra and Wulfram Gerstner
Advances in Neural Information Processing Systems 24, 2011


Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A. Simon and Nathaniel D. Daw
Advances in Neural Information Processing Systems 24, 2011


Transfer Learning by Borrowing Examples for Multiclass Object Detection
Joseph J. Lim, Ruslan Salakhutdinov and Antonio Torralba
Advances in Neural Information Processing Systems 24, 2011


Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl and Vladlen Koltun
Advances in Neural Information Processing Systems 24, 2011


On Strategy Stitching in Large Extensive Form Multiplayer Games
Richard G. Gibson and Duane Szafron
Advances in Neural Information Processing Systems 24, 2011


Learning large-margin halfspaces with more malicious noise
Phil Long and Rocco Servedio
Advances in Neural Information Processing Systems 24, 2011


A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati and Boris S. Gutkin
Advances in Neural Information Processing Systems 24, 2011


Image Parsing with Stochastic Scene Grammar
Yibiao Zhao and Song-chun Zhu
Advances in Neural Information Processing Systems 24, 2011


Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction
Siwei Lyu
Advances in Neural Information Processing Systems 24, 2011


Sparse Manifold Clustering and Embedding
Ehsan Elhamifar and René Vidal
Advances in Neural Information Processing Systems 24, 2011


Penalty Decomposition Methods for Rank Minimization
Yong Zhang and Zhaosong Lu
Advances in Neural Information Processing Systems 24, 2011


On U-processes and clustering performance
Stéphan J. Clémençcon
Advances in Neural Information Processing Systems 24, 2011


Video Annotation and Tracking with Active Learning
Carl Vondrick and Deva Ramanan
Advances in Neural Information Processing Systems 24, 2011


Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine, Zoran Popovic and Vladlen Koltun
Advances in Neural Information Processing Systems 24, 2011


Shaping Level Sets with Submodular Functions
Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Maximum Margin Multi-Instance Learning
Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie and Chris H. Ding
Advances in Neural Information Processing Systems 24, 2011


Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines
Jun Zhu, Ning Chen and Eric P. Xing
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case
Tianyi Zhou and Dacheng Tao
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Efficient Sparse Modeling with Automatic Feature Grouping
Wenliang Zhong and James T. Kwok
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online AUC Maximization
Peilin Zhao, Rong Jin, Tianbao Yang and Steven C. Hoi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Tree-Structured Infinite Sparse Factor Model
Xianxing Zhang, Lawrence Carin and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Beat the Mean Bandit
Yisong Yue and Thorsten Joachims
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Unimodal Bandits
Jia Y. Yu and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Use of Variational Inference for Learning Discrete Graphical Model
Eunho Yang and Pradeep K. Ravikumar
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Active Learning from Crowds
Yan Yan, Glenn M. Fung, Rómer Rosales and Jennifer G. Dy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Hierarchical Classification via Orthogonal Transfer
Lin Xiao, Dengyong Zhou and Mingrui Wu
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


SampleRank: Training Factor Graphs with Atomic Gradients
Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew Mccallum and Michael L. Wick
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bayesian Learning via Stochastic Gradient Langevin Dynamics
Max Welling and Yee W. Teh
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Computational Rationalization: The Inverse Equilibrium Problem
Kevin Waugh, Drew Bagnell and Brian D. Ziebart
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Dynamic Egocentric Models for Citation Networks
David Hunter, Padhraic Smyth, Duy Q. Vu and Arthur U. Asuncion
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bayesian CCA via Group Sparsity
Seppo Virtanen, Arto Klami and Samuel Kaski
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Preserving Personalized Pagerank in Subgraphs
Andrea Vattani, Deepayan Chakrabarti and Maxim Gurevich
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Discriminative Fisher Kernels
Laurens Maaten
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bundle Selling by Online Estimation of Valuation Functions
Daniel Vainsencher, Ofer Dekel and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Access to Unlabeled Data can Speed up Prediction Time
Ruth Urner, Shai Shalev-shwartz and Shai Ben-david
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Conjugate Markov Decision Processes
Philip S. Thomas and Andrew G. Barto
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Dynamic Tree Block Coordinate Ascent
Daniel Tarlow, Dhruv Batra, Pushmeet Kohli and Vladimir Kolmogorov
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Adaptively Learning the Crowd Kernel
Omer Tamuz, Ce Liu, Ohad Shamir, Adam Kalai and Serge J. Belongie
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Integrating Partial Model Knowledge in Model Free RL Algorithms
Aviv Tamar, Dotan D. Castro and Ron Meir
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Autoencoders and Score Matching for Energy Based Models
Kevin Swersky, Marc'aurelio Ranzato, David Buchman, Nando D. Freitas and Benjamin M. Marlin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generating Text with Recurrent Neural Networks
Ilya Sutskever, James Martens and Geoffrey E. Hinton
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Incremental Basis Construction from Temporal Difference Error
Yi Sun, Mark Ring, Jürgen Schmidhuber and Faustino J. Gomez
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning
Arvind Sujeeth, Hyoukjoong Lee, Kevin Brown, Tiark Rompf, Hassan Chafi, Michael Wu, Anand Atreya, Martin Odersky and Kunle Olukotun
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution
Masashi Sugiyama, Makoto Yamada, Manabu Kimura and Hirotaka Hachiya
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Large Scale Text Classification using Semi-supervised Multinomial Naive Bayes
Jiang Su, Jelber S. Shirab and Stan Matwin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimum Probability Flow Learning
Jascha Sohl-dickstein, Peter Battaglino and Michael R. Deweese
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Parsing Natural Scenes and Natural Language with Recursive Neural Networks
Richard Socher, Cliff C. Lin, Chris Manning and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Constrained Weight Space SVM: Learning with Ranked Features
Kevin Small, Byron Wallace, Thomas Trikalinos and Carla E. Brodley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Mapping kernels for trees
Kilho Shin, Marco Cuturi and Tetsuji Kuboyama
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Tree preserving embedding
Albert Shieh, Tatsunori Hashimoto and Edo Airoldi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Large-Scale Convex Minimization with a Low-Rank Constraint
Shai Shalev-shwartz, Alon Gonen and Ohad Shamir
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs
Clayton Scott
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Random Weights and Unsupervised Feature Learning
Andrew Saxe, Pang W. Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


From PAC-Bayes Bounds to Quadratic Programs for Majority Votes
Jean-francis Roy, Mario Marchand and François Laviolette
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimax Learning Rates for Bipartite Ranking and Plug-in Rules
Sylvain Robbiano and Stéphan J. Clémençcon
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot and Yoshua Bengio
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Boosting on a Budget: Sampling for Feature-Efficient Prediction
Lev Reyzin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Beam Search based MAP Estimates for the Indian Buffet Process
Piyush Rai and Hal Daume
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Vector-valued Manifold Regularization
Ha Q. Minh and Vikas Sindhwani
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Multi-View Neighborhood Preserving Projections
Novi Quadrianto and Christoph H. Lampert
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Estimating the Bayes Point Using Linear Knapsack Problems
Brian R. Potetz
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Convex Max-Product over Compact Sets for Protein Folding
Jian Peng, Tamir Hazan, Raquel Urtasun and David A. Mcallester
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generalized Value Functions for Large Action Sets
Jason Pazis and Ron Parr
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Spectral Algorithm for Latent Tree Graphical Models
Le Song, Eric P. Xing and Ankur P. Parikh
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Variational Inference for Stick-Breaking Beta Process Priors
Lawrence Carin, David M. Blei and John W. Paisley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Better Algorithms for Selective Sampling
Francesco Orabona and Nicolò Cesa-bianchi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning
Francesco Orabona and Luo Jie
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimal Loss Hashing for Compact Binary Codes
Mohammad Norouzi and David M. Blei
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive
Richard Nock, Brice Magdalou, Eric Briys and Frank Nielsen
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A New Bayesian Rating System for Team Competitions
Sergey Nikolenko and Alexander Sirotkin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Three-Way Model for Collective Learning on Multi-Relational Data
Maximilian Nickel, Volker Tresp and Hans-peter Kriegel
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Deep Energy Models
Jiquan Ngiam, Zhenghao Chen, Pang W. Koh and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multimodal Deep Learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Variational Inference for Policy Search in changing situations
Gerhard Neumann
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution
Shinichi Nakajima, Masashi Sugiyama and Derin Babacan
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Size-constrained Submodular Minimization through Minimum Norm Base
Kiyohito Nagano, Yoshinobu Kawahara and Kazuyuki Aihara
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Linear Regression under Fixed-Rank Constraints: A Riemannian Approach
Gilles Meyer, Silvère Bonnabel and Rodolphe Sepulchre
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


An Augmented Lagrangian Approach to Constrained MAP Inference
Pedro Aguiar, Eric P. Xing, Mário Figueiredo, Noah A. Smith and André Martins
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Recurrent Neural Networks with Hessian-Free Optimization
James Martens and Ilya Sutskever
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Mean-Variance Optimization in Markov Decision Processes
Shie Mannor and John Tsitsiklis
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Implementing regularization implicitly via approximate eigenvector computation
Lorenzo Orecchia and Michael W. Mahoney
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Stochastic Low-Rank Kernel Learning for Regression
Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola and Hervé Glotin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Cauchy Graph Embedding
Dijun Luo, Feiping Nie, Heng Huang and Chris H. Ding
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Mallows Models with Pairwise Preferences
Tyler Lu and Craig Boutilier
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Hashing with Graphs
Wei Liu, Jun Wang, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bounding the Partition Function using Holder's Inequality
Qiang Liu and Alexander T. Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Infinite Regionalized Policy Representation
Miao Liu, Xuejun Liao and Lawrence Carin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Towards Making Unlabeled Data Never Hurt
Yu-feng Li and Zhi-hua Zhou
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Integration of Topic Modeling and Dictionary Learning
Lingbo Li, Mingyuan Zhou, Guillermo Sapiro and Lawrence Carin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Time Series Clustering: Complex is Simpler!
Lei Li and B. A. Prakash
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning
Sangkyun Lee and Stephen Wright
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On optimization methods for deep learning
Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Quoc V. Le and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Variational Heteroscedastic Gaussian Process Regression
Michalis K. Titsias and Miguel Lázaro-gredilla
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Locally Linear Support Vector Machines
Lubor Ladicky and Philip Torr
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Relational Active Learning for Joint Collective Classification Models
Ankit Kuwadekar and Jennifer Neville
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Co-training Approach for Multi-view Spectral Clustering
Abhishek Kumar and Hal Daume
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


k-DPPs: Fixed-Size Determinantal Point Processes
Alex Kulesza and Ben Taskar
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Pruning nearest neighbor cluster trees
Samory Kpotufe and Ulrike V. Luxburg
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bipartite Ranking through Minimization of Univariate Loss
Wojciech Kotlowski, Krzysztof J. Dembczynski and Eyke Hüllermeier
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Message Passing Algorithms for the Dirichlet Diffusion Tree
Jurgen V. Gael, Zoubin Ghahramani and David A. Knowles
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Robustness of Kernel Density M-Estimators
Jooseuk Kim and Clayton Scott
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Suboptimal Solution Path Algorithm for Support Vector Machine
Masayuki Karasuyama and Ichiro Takeuchi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning with Whom to Share in Multi-task Feature Learning
Zhuoliang Kang, Kristen Grauman and Fei Sha
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximating Correlated Equilibria using Relaxations on the Marginal Polytope
Hetunandan Kamisetty, Eric P. Xing and Christopher J. Langmead
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Functional Regularized Least Squares Classication with Operator-valued Kernels
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos and Alain Rakotomamonjy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Eigenvalue Sensitive Feature Selection
Yi Jiang and Jiangtao Ren
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Task Space Retrieval Using Inverse Feedback Control
Nikolay Jetchev and Marc Toussaint
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximation Bounds for Inference using Cooperative Cuts
Stefanie Jegelka and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Submodular Minimization for Combinatorial Structures
Stefanie Jegelka and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Efficient Rule Ensemble Learning using Hierarchical Kernels
Pratik Jawanpuria, Saketha N. Jagarlapudi and Ganesh Ramakrishnan
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Clustering Partially Observed Graphs via Convex Optimization
Ali Jalali, Yudong Chen, Sujay Sanghavi and Huan Xu
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Speeding-Up Hoeffding-Based Regression Trees With Options
Elena Ikonomovska, João Gama, Bernard Zenko and Saso Dzeroski
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent
En-liang Hu, Bo Wang and Songcan Chen
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties
Toby Hocking, Jean-philippe Vert, Armand Joulin and Francis R. Bach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Brier Curves: a New Cost-Based Visualisation of Classifier Performance
Cèsar Ferri, José Hernández-orallo and Peter A. Flach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Necessity of Irrelevant Variables
Dave Helmbold and Phil Long
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Graph-based Framework for Multi-Task Multi-View Learning
Jingrui He and Rick Lawrence
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning from Multiple Outlooks
Maayan Harel and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximate Dynamic Programming for Storage Problems
Lauren Hannah and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Simultaneous Learning and Covering with Adversarial Noise
Andrew Guillory and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection
Yue Guan, Michael I. Jordan and Jennifer G. Dy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generalized Boosting Algorithms for Convex Optimization
Alexander Grubb and Drew Bagnell
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields
Stephen Gould
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Uncovering the Temporal Dynamics of Diffusion Networks
Manuel G. Rodriguez, David Balduzzi and Bernhard Schölkopf
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
Xavier Glorot, Antoine Bordes and Yoshua Bengio
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Finite-Sample Analysis of Lasso-TD
Mohammad Ghavamzadeh, Alessandro Lazaric, Matthew Hoffman and Rémi Munos
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Predicting Legislative Roll Calls from Text
Sean Gerrish and David M. Blei
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A PAC-Bayes Sample-compression Approach to Kernel Methods
Pascal Germain, Alexandre Lacoste, Mario Marchand, Sara Shanian and François Laviolette
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Discovery of Feature Dependencies
Alborz Geramifard, Finale Doshi, Joshua Redding, Nicholas Roy and Jonathan How
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Risk-Based Generalizations of f-divergences
Ulrike V. Luxburg, Ra\'ul Santos-rodr\'iiguez and Darío García-garcía
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multiclass Boosting with Hinge Loss based on Output Coding
Tianshi Gao and Daphne Koller
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Classification-based Policy Iteration with a Critic
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh and Bruno Scherrer
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Support Vector Machines as Probabilistic Models
Vojtech Franc, Alexander Zien and Bernhard Schölkopf
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance
Cèsar Ferri, José Hernández-orallo and Peter A. Flach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Sparse Additive Generative Models of Text
Jacob Eisenstein, Amr Ahmed and Eric P. Xing
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Doubly Robust Policy Evaluation and Learning
John Langford, Lihong Li and Miroslav Dudík
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Infinite Dynamic Bayesian Networks
Finale Doshi, David Wingate, Josh Tenenbaum and Nicholas Roy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Output Kernels with Block Coordinate Descent
Francesco Dinuzzo, Cheng S. Ong, Gianluigi Pillonetto and Peter V. Gehler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Optimal Distributed Online Prediction
Ofer Dekel, Ran Gilad-bachrach, Ohad Shamir and Lin Xiao
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


PILCO: A Model-Based and Data-Efficient Approach to Policy Search
Marc Deisenroth and Carl E. Rasmussen
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Large-Scale Learning of Embeddings with Reconstruction Sampling
Xavier Glorot, Yoshua Bengio and Yann N. Dauphin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
Abhimanyu Das and David Kempe
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Fast Global Alignment Kernels
Marco Cuturi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multiclass Classification with Bandit Feedback using Adaptive Regularization
Koby Crammer and Claudio Gentile
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Unsupervised Models of Images by Spike-and-Slab RBMs
Yoshua Bengio, Aaron C. Courville and James S. Bergstra
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction
Michele Cossalter, Rong Yan and Lu Zheng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization
Adam Coates and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Inference of Inversion Transduction Grammars
Alexander Clark
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines
Kyunghyun Cho, Tapani Raiko and Alexander T. Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Automatic Feature Decomposition for Single View Co-training
Minmin Chen, Yixin Chen and Kilian Q. Weinberger
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Robust Matrix Completion and Corrupted Columns
Yudong Chen, Huan Xu, Constantine Caramanis and Sujay Sanghavi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Topic Modeling with Nonparametric Markov Tree
Haojun Chen, Lawrence Carin and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning
Bo Chen, Gungor Polatkan, Guillermo Sapiro, Lawrence Carin and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree
Doran Chakraborty and Peter Stone
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Linear Functions with Quadratic and Linear Multiplicative Updates
Tom Bylander
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision
David Buffoni, Patrick Gallinari, Nicolas Usunier and Clément Calauzènes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Semi-supervised Penalized Output Kernel Regression for Link Prediction
Céline Brouard, Marie Szafranski and Florence D'alché-buc
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Parallel Coordinate Descent for L1-Regularized Loss Minimization
Aapo Kyrola, Daniel Bickson, Carlos Guestrin and Joseph K. Bradley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multi-Label Classification on Tree- and DAG-Structured Hierarchies
Wei Bi and James T. Kwok
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani, Hugo Larochelle, Vittorio Murino, Jo-anne Ting and Nando D. Freitas
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Fast Newton-type Methods for Total Variation Regularization
Álvaro Barbero and Suvrit Sra
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Apprenticeship Learning About Multiple Intentions
Monica Babes, Vukosi Marivate, Kaushik Subramanian and Michael L. Littman
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multiple Instance Learning with Manifold Bags
Boris Babenko, Nakul Verma, Piotr Dollár and Serge J. Belongie
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Clustering by Left-Stochastic Matrix Factorization
Raman Arora, Maya Gupta, Amol Kapila and Maryam Fazel
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Probabilistic Matrix Addition
Amrudin Agovic, Arindam Banerjee and Snigdhansu Chatterje
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Alekh Agarwal, Sahand Negahban and Martin J. Wainwright
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang and Steven Hoi
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dependent Hierarchical Beta Process for Image Interpolation and Denoising
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson and Lawrence Carin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou and Nathan Srebro
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou and Mikhail Belkin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generalization Bound for Infinitely Divisible Empirical Process
Chao Zhang and Dacheng Tao
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang and Jeff G. Schneider
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables"
Jiji Zhang and Ricardo Silva
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


An Instantiation-Based Theorem Prover for First-Order Programming
Erik Zawadzki, Geoffrey J. Gordon and André Platzer
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
Xiaotong Yuan and Shuicheng Yan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Efficient variable selection in support vector machines via the alternating direction method of multipliers
Gui-bo Ye, Yifei Chen and Xiaohui Xie
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke and Jaime G. Carbonell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
Shuang-hong Yang, Steven P. Crain and Hongyuan Zha
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Cross-Domain Object Matching with Model Selection
Makoto Yamada and Masashi Sugiyama
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew Connolly and Jake Vanderplas
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang and Jennifer Neville
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling"
Frank Wood
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmüller and Noah D. Goodman
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Information Theoretical Clustering via Semidefinite Programming
Meihong Wang and Fei Sha
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John W. Paisley and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Active Boosted Learning (ActBoost)
Kirill Trapeznikov, Venkatesh Saligrama and David A. Castañon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables
Robert E. Tillman and Peter Spirtes
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon and Paul Kidwell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson and Jason Eisner
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Machine Learning Markets
Amos J. Storkey
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew L. Maas and Christopher D. Manning
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
Ning Situ, Xiaojing Yuan and George Zouridakis
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn and Pascal Poupart
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell and Yee W. Teh
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Spectral Clustering on a Budget
Ohad Shamir and Naftali Tishby
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias W. Seeger and Hannes Nickisch
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha and Ambuj Tewari
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Suresh Venkatasubramanian and Hal Daume
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross, Geoffrey J. Gordon and Drew Bagnell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On NDCG Consistency of Listwise Ranking Methods
Pradeep D. Ravikumar, Ambuj Tewari and Eunho Yang
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On the Estimation of alpha-Divergences
Barnabás Póczos and Jeff G. Schneider
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Directional Statistics on Permutations
Sergey M. Plis, Stephen Mccracken, Terran Lane and Vince D. Calhoun
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Faithfulness in Chain Graphs: The Gaussian Case
Jose M. Peña
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen and Samuel Kaski
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John W. Paisley, Chong Wang and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang and Masashi Sugiyama
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer G. Dy and Michael I. Jordan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel A. Mcfarland and Christopher D. Manning
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Can matrix coherence be efficiently and accurately estimated?
Mehryar Mohri and Ameet Talwalkar
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
H. B. Mcmahan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Contextual Bandit Algorithms with Supervised Learning Guarantees"
H. B. Mcmahan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Estimating beta-mixing coefficients
Daniel J. Mcdonald, Cosma R. Shalizi and Mark J. Schervish
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Learning of Structured Predictors with Multiple Kernels
André Martins, Noah A. Smith, Eric P. Xing, Pedro Aguiar and Mário Figueiredo
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Adaptive Bandits: Towards the best history-dependent strategy
Odalric-ambrym Maillard and Rémi Munos
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


CAKE: Convex Adaptive Kernel Density Estimation
Ravi Mahapatruni and Alexander G. Gray
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hidden-Unit Conditional Random Fields
Laurens Maaten, Max Welling and Lawrence K. Saul
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Spectral Dimensionality Reduction via Maximum Entropy"
Laurens Maaten
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu and Carsten Ullrich
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long and Jingyuan Lv
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie C. Lozano, Grzegorz Swirszcz and Naoki Abe
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Scale Free Networks by Reweighted L1 regularization
Qiang Liu and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Bayesian Hierarchical Cross-Clustering
Dazhuo Li and Patrick Shafto
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven Hoi, Peilin Zhao and Vivekanand Gopalkrishnan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Spectral Dimensionality Reduction via Maximum Entropy
Neil D. Lawrence
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Neural Autoregressive Distribution Estimator
Hugo Larochelle and Iain Murray
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard and Cédric Archambeau
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Approximate inference for the loss-calibrated Bayesian
Simon Lacoste-julien, Ferenc Huszar and Zoubin Ghahramani
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On Time Varying Undirected Graphs
Mladen Kolar and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria and Daphne Koller
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary and Gerald Matz
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep D. Ravikumar, Vishvas Vasuki and Sujay Sanghavi
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain and John Shawe-taylor
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Fast b-matching via Sufficient Selection Belief Propagation
Bert C. Huang and Tony Jebara
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue A. Hong and Geoffrey J. Gordon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur P. Parikh, Le Song and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes and Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning from positive and unlabeled examples by enforcing statistical significance
Pierre Geurts
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg and Rohit Khandekar
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Revisiting MAP Estimation, Message Passing and Perfect Graphs
James R. Foulds, Nicholas Navaroli, Padhraic Smyth and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James R. Foulds, Christopher Dubois, Arthur U. Asuncion, Carter T. Butts and Padhraic Smyth
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A novel greedy algorithm for Nystr{\"o}m approximation
Ahmed K. Farahat, Ali Ghodsi and Mohamed S. Kamel
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh and Robert D. Nowak
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Bagged Structure Learning of Bayesian Network
Gal Elidan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A conditional game for comparing approximations
Frederik Eaton
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Optimal and Robust Price Experimentation: Learning by Lottery
Christopher R. Dance and Onno Zoeter
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Spike and Slab Restricted Boltzmann Machine
Aaron C. Courville, James Bergstra and Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "A conditional game for comparing approximations"
Vincent Conitzer
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Deep Learning for Efficient Discriminative Parsing
Ronan Collobert
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Y. Ng and Honglak Lee
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin and Robert E. Schapire
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis and David Barber
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle and David Barber
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober and Jan R. Peters
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade and Dean P. Foster
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin and Robert E. Schapire
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Deep Learners Benefit More from Out-of-Distribution Examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain P. Lebeuf, Razvan Pascanu, Salah Rifai, Françcois Savard and Guillaume Sicard
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "The Neural Autoregressive Distribution Estimator"
Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
Gowtham Bellala, Suresh K. Bhavnani and Clayton Scott
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin and Pushmeet Kohli
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez and Guy Lebanon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Statistical Optimization of Non-Negative Matrix Factorization
Anoop K. Balan, Levi Boyles, Max Welling, Jingu Kim and Haesun Park
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dynamic Policy Programming with Function Approximation
Mohammad G. Azar, Vicençc Gómez and Bert Kappen
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi and Bertrand Haas
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon H. Teo, Jacob Eisenstein, Eric P. Xing and Alex J. Smola
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li and Alex J. Smola
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generative Kernels for Exponential Families
Arvind Agarwal and Hal Daume
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Learning Scale Free Networks by Reweighted L1 regularization"
Deepak Agarwal
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011