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JMLR Workshop and Conference Proceedings
Volume 15: AISTATS 2011

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics
April 11-13, 2011, Fort Lauderdale, FL, USA

Editors: Geoffrey Gordon, David Dunson, and Miroslav Dudík
Preface
Geoffrey Gordon, David Dunson ; 15:1-2, 2011.
[pdf]

Part I: Notable Papers

Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables
Robert Tillman, Peter Spirtes ; 15:3-15, 2011.
[abs] [pdf]

Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables”
Jiji Zhang, Ricardo Silva ; 15:16-18, 2011.
[pdf]

Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert Schapire ; 15:19-26, 2011.
[abs] [pdf] [supplementary]

Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees”
Brendan McMahan ; 15:27-28, 2011.
[pdf]

The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray ; 15:29-37, 2011.
[abs] [pdf]

Discussion of “The Neural Autoregressive Distribution Estimator”
Yoshua Bengio ; 15:38-39, 2011.
[pdf]

Learning Scale Free Networks by Reweighted L1 regularization
Qiang Liu, Alexander Ihler ; 15:40-48, 2011.
[abs] [pdf]

Discussion of “Learning Scale Free Networks by Reweighted L1 regularization”
Deepak Agarwal ; 15:49-50, 2011.
[pdf]

Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence ; 15:51-59, 2011.
[abs] [pdf]

Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
Laurens van der Maaten ; 15:60-62, 2011.
[pdf]

A conditional game for comparing approximations
Frederik Eaton ; 15:63-71, 2011.
[abs] [pdf]

Discussion of “A conditional game for comparing approximations”
Vincent Conitzer ; 15:72-73, 2011.
[pdf]

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John Paisley, Chong Wang, David Blei ; 15:74-82, 2011.
[abs] [pdf]

Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling”
Frank Wood ; 15:83-84, 2011.
[pdf]

Part II: Regular Papers

Generative Kernels for Exponential Families
Arvind Agarwal, Hal Daumé III ; 15:85-92, 2011.
[abs] [pdf]

Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li, Alexander Smola ; 15:93-100, 2011.
[abs] [pdf]

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alex Smola, Eric Xing ; 15:101-109, 2011.
[abs] [pdf] [supplementary]

Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi, Bertrand Haas ; 15:110-118, 2011.
[abs] [pdf] [supplementary]

Dynamic Policy Programming with Function Approximation
Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen ; 15:119-127, 2011.
[abs] [pdf] [supplementary]

Statistical Optimization of Non-Negative Matrix Factorization
Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park ; 15:128-136, 2011.
[abs] [pdf]

Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon ; 15:137-145, 2011.
[abs] [pdf]

Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli ; 15:146-154, 2011.
[abs] [pdf]

Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
Gowtham Bellala, Suresh Bhavnani, Clayton Scott ; 15:155-163, 2011.
[abs] [pdf] [supplementary]

Deep Learners Benefit More from Out-of-Distribution Examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger–Lewandowski, Thomas Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard ; 15:164-172, 2011.
[abs] [pdf]

Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade, Dean Foster ; 15:173-181, 2011.
[abs] [pdf] [supplementary]

Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters ; 15:182-189, 2011.
[abs] [pdf]

Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle, David Barber ; 15:190-198, 2011.
[abs] [pdf] [supplementary]

Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis, David Barber ; 15:199-207, 2011.
[abs] [pdf] [supplementary]

Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin, Robert Schapire ; 15:208-214, 2011.
[abs] [pdf]

An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Ng, Honglak Lee ; 15:215-223, 2011.
[abs] [pdf]

Deep Learning for Efficient Discriminative Parsing
Ronan Collobert ; 15:224-232, 2011.
[abs] [pdf] [supplementary]

A Spike and Slab Restricted Boltzmann Machine
Aaron Courville, James Bergstra, Yoshua Bengio ; 15:233-241, 2011.
[abs] [pdf]

Optimal and Robust Price Experimentation: Learning by Lottery
Christopher Dance, Onno Zoeter ; 15:242-250, 2011.
[abs] [pdf]

Bagged Structure Learning of Bayesian Network
Gal Elidan ; 15:251-259, 2011.
[abs] [pdf]

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Rob Nowak ; 15:260-268, 2011.
[abs] [pdf]

A novel greedy algorithm for Nyström approximation
Ahmed Farahat, Ali Ghodsi, Mohamed Kamel ; 15:269-277, 2011.
[abs] [pdf] [supplementary]

Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler ; 15:278-286, 2011.
[abs] [pdf]

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James Foulds, Christopher DuBois, Arthur Asuncion, Carter Butts, Padhraic Smyth ; 15:287-295, 2011.
[abs] [pdf]

Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg, Rohit Khandekar ; 15:296-304, 2011.
[abs] [pdf] [supplementary]

Learning from positive and unlabeled examples by enforcing statistical significance
Pierre Geurts ; 15:305-314, 2011.
[abs] [pdf] [supplementary]

Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes, Yoshua Bengio ; 15:315-323, 2011.
[abs] [pdf]

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin ; 15:324-332, 2011.
[abs] [pdf] [supplementary]

Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song, Eric Xing ; 15:333-341, 2011.
[abs] [pdf] [supplementary]

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song, Eric Xing ; 15:342-350, 2011.
[abs] [pdf] [supplementary]

Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue Ann Hong, Geoffrey Gordon ; 15:351-360, 2011.
[abs] [pdf] [supplementary]

Fast b-matching via Sufficient Selection Belief Propagation
Bert Huang, Tony Jebara ; 15:361-369, 2011.
[abs] [pdf]

Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor ; 15:370-377, 2011.
[abs] [pdf] [errata]

On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi ; 15:378-387, 2011.
[abs] [pdf] [supplementary]

Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary, Gerald Matz ; 15:388-398, 2011.
[abs] [pdf]

Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria, Daphne Koller ; 15:399-406, 2011.
[abs] [pdf]

On Time Varying Undirected Graphs
Mladen Kolar, Eric Xing ; 15:407-415, 2011.
[abs] [pdf] [supplementary]

Approximate inference for the loss-calibrated Bayesian
Simon Lacoste–Julien, Ferenc Huszar, Zoubin Ghahramani ; 15:416-424, 2011.
[abs] [pdf] [supplementary]

Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau ; 15:425-433, 2011.
[abs] [pdf]

Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan ; 15:434-442, 2011.
[abs] [pdf]

Bayesian Hierarchical Cross-Clustering
Dazhuo Li, Patrick Shafto ; 15:443-451, 2011.
[abs] [pdf] [supplementary]

Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe ; 15:452-460, 2011.
[abs] [pdf]

A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long, Jingyuan Lv ; 15:461-469, 2011.
[abs] [pdf]

Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich ; 15:470-478, 2011.
[abs] [pdf]

Hidden-Unit Conditional Random Fields
Laurens van der Maaten, Max Welling, Lawrence Saul ; 15:479-488, 2011.
[abs] [pdf]

Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis ; 15:489-497, 2011.
[abs] [pdf]

CAKE: Convex Adaptive Kernel Density Estimation
Ravi Sastry Ganti Mahapatruni, Alexander Gray ; 15:498-506, 2011.
[abs] [pdf] [supplementary]

Online Learning of Structured Predictors with Multiple Kernels
Andre Filipe Torres Martins, Noah Smith, Eric Xing, Pedro Aguiar, Mario Figueiredo ; 15:507-515, 2011.
[abs] [pdf] [supplementary]

Estimating beta-mixing coefficients
Daniel McDonald, Cosma Shalizi, Mark Schervish ; 15:516-524, 2011.
[abs] [pdf]

Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
Brendan McMahan ; 15:525-533, 2011.
[abs] [pdf]

Can matrix coherence be efficiently and accurately estimated?
Mehryar Mohri, Ameet Talwalkar ; 15:534-542, 2011.
[abs] [pdf]

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel McFarland, Christopher Manning ; 15:543-551, 2011.
[abs] [pdf]

Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer Dy, Michael Jordan ; 15:552-560, 2011.
[abs] [pdf]

Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama ; 15:561-569, 2011.
[abs] [pdf] [supplementary]

Adaptive Bandits: Towards the best history-dependent strategy
Maillard Odalric, Remi Munos ; 15:570-578, 2011.
[abs] [pdf] [supplementary]

Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski ; 15:579-587, 2011.
[abs] [pdf] [supplementary]

Faithfulness in Chain Graphs: The Gaussian Case
Jose Peña ; 15:588-599, 2011.
[abs] [pdf]

Directional Statistics on Permutations
Sergey Plis, Stephen McCracken, Terran Lane, Vince Calhoun ; 15:600-608, 2011.
[abs] [pdf] [supplementary]

On the Estimation of alpha-Divergences
Barnabas Poczos, Jeff Schneider ; 15:609-617, 2011.
[abs] [pdf]

On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang ; 15:618-626, 2011.
[abs] [pdf] [supplementary]

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey Gordon, Drew Bagnell ; 15:627-635, 2011.
[abs] [pdf]

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha, Ambuj Tewari ; 15:636-642, 2011.
[abs] [pdf]

Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian ; 15:643-651, 2011.
[abs] [pdf]

Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias Seeger, Hannes Nickisch ; 15:652-660, 2011.
[abs] [pdf]

Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby ; 15:661-669, 2011.
[abs] [pdf] [supplementary]

Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh ; 15:670-678, 2011.
[abs] [pdf] [supplementary]

Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn, Pascal Poupart ; 15:679-687, 2011.
[abs] [pdf] [supplementary]

Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
Ning Situ, Xiaojing Yuan, George Zouridakis ; 15:688-697, 2011.
[abs] [pdf] [supplementary]

Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew Maas, Christopher Manning ; 15:698-706, 2011.
[abs] [pdf]

Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin ; 15:707-715, 2011.
[abs] [pdf] [supplementary]

Machine Learning Markets
Amos Storkey ; 15:716-724, 2011.
[abs] [pdf]

Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson, Jason Eisner ; 15:725-733, 2011.
[abs] [pdf] [supplementary]

Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon, Paul Kidwell ; 15:734-742, 2011.
[abs] [pdf]

Active Boosted Learning (ActBoost)
Kirill Trapeznikov, Venkatesh Saligrama, David Castanon ; 15:743-751, 2011.
[abs] [pdf] [supplementary]

Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John Paisley, David Blei ; 15:752-760, 2011.
[abs] [pdf]

Information Theoretical Clustering via Semidefinite Programming
Meihong Wang, Fei Sha ; 15:761-769, 2011.
[abs] [pdf]

Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmueller, Noah Goodman ; 15:770-778, 2011.
[abs] [pdf]

Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang, Jennifer Neville ; 15:779-788, 2011.
[abs] [pdf]

Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabas Poczos, Jeff Schneider, Andrew Connolly, Jake VanderPlas ; 15:789-797, 2011.
[abs] [pdf] [supplementary]

Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu, Alexander Ihler ; 15:798-806, 2011.
[abs] [pdf]

Cross-Domain Object Matching with Model Selection
Makoto Yamada, Masashi Sugiyama ; 15:807-815, 2011.
[abs] [pdf]

The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke, Jaime Carbonell ; 15:816-822, 2011.
[abs] [pdf]

Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
Shuang–Hong Yang, Steven Crain, Hongyuan Zha ; 15:823-831, 2011.
[abs] [pdf]

Efficient variable selection in support vector machines via the alternating direction method of multipliers
Gui–Bo Ye, Yifei Chen, Xiaohui Xie ; 15:832-840, 2011.
[abs] [pdf]

A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
Xiao–Tong Yuan, Shuicheng Yan ; 15:841-854, 2011.
[abs] [pdf]

An Instantiation-Based Theorem Prover for First-Order Programming
Erik Zawadzki, Geoffrey Gordon, Andre Platzer ; 15:855-863, 2011.
[abs] [pdf] [supplementary]

Generalization Bound for Infinitely Divisible Empirical Process
Chao Zhang, Dacheng Tao ; 15:864-872, 2011.
[abs] [pdf] [supplementary]

Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang, Jeff Schneider ; 15:873-882, 2011.
[abs] [pdf]

Dependent Hierarchical Beta Process for Image Interpolation and Denoising
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David Dunson, Lawrence Carin ; 15:883-891, 2011.
[abs] [pdf]

Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin ; 15:892-900, 2011.
[abs] [pdf]

Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou, Nathan Srebro ; 15:901-908, 2011.
[abs] [pdf]

Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi ; 15:909-917, 2011.
[abs] [pdf]