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Volume 15: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 11-13 April 2011, Fort Lauderdale, FL, USA

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Editors: Geoffrey Gordon, David Dunson, Miroslav Dudík

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Contents:

Preface

Preface

Geoffrey Gordon, David Dunson; JMLR Workshop and Conference Proceedings 15:1-2

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; JMLR Workshop and Conference Proceedings 15:3-15

Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables”

Jiji Zhang, Ricardo Silva; JMLR Workshop and Conference Proceedings 15:16-18

Contextual Bandit Algorithms with Supervised Learning Guarantees

Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert Schapire; JMLR Workshop and Conference Proceedings 15:19-26

Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees”

Brendan McMahan; JMLR Workshop and Conference Proceedings 15:27-28

The Neural Autoregressive Distribution Estimator

Hugo Larochelle, Iain Murray; JMLR Workshop and Conference Proceedings 15:29-37

Discussion of “The Neural Autoregressive Distribution Estimator”

Yoshua Bengio; JMLR Workshop and Conference Proceedings 15:38-39

Learning Scale Free Networks by Reweighted L1 regularization

Qiang Liu, Alexander Ihler; JMLR Workshop and Conference Proceedings 15:40-48

Discussion of “Learning Scale Free Networks by Reweighted L1 regularization”

Deepak Agarwal; JMLR Workshop and Conference Proceedings 15:49-50

Spectral Dimensionality Reduction via Maximum Entropy

Neil Lawrence; JMLR Workshop and Conference Proceedings 15:51-59

Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”

Laurens van der Maaten; JMLR Workshop and Conference Proceedings 15:60-62

A conditional game for comparing approximations

Frederik Eaton; JMLR Workshop and Conference Proceedings 15:63-71

Discussion of “A conditional game for comparing approximations”

Vincent Conitzer; JMLR Workshop and Conference Proceedings 15:72-73

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling

John Paisley, Chong Wang, David Blei; JMLR Workshop and Conference Proceedings 15:74-82

Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling”

Frank Wood; JMLR Workshop and Conference Proceedings 15:83-84

Part II: Regular Papers

Generative Kernels for Exponential Families

Arvind Agarwal, Hal Daumé III; JMLR Workshop and Conference Proceedings 15:85-92

Linear-Time Estimators for Propensity Scores

Deepak Agarwal, Lihong Li, Alexander Smola; JMLR Workshop and Conference Proceedings 15:93-100

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; JMLR Workshop and Conference Proceedings 15:101-109

Polytope samplers for inference in ill-posed inverse problems

Edoardo Airoldi, Bertrand Haas; JMLR Workshop and Conference Proceedings 15:110-118

Dynamic Policy Programming with Function Approximation

Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen; JMLR Workshop and Conference Proceedings 15:119-127

Statistical Optimization of Non-Negative Matrix Factorization

Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park; JMLR Workshop and Conference Proceedings 15:128-136

Unsupervised Supervised Learning II: Margin-Based Classification without Labels

Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon; JMLR Workshop and Conference Proceedings 15:137-145

Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm

Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli; JMLR Workshop and Conference Proceedings 15:146-154

Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach

Gowtham Bellala, Suresh Bhavnani, Clayton Scott; JMLR Workshop and Conference Proceedings 15:155-163

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; JMLR Workshop and Conference Proceedings 15:164-172

Domain Adaptation with Coupled Subspaces

John Blitzer, Sham Kakade, Dean Foster; JMLR Workshop and Conference Proceedings 15:173-181

Relative Entropy Inverse Reinforcement Learning

Abdeslam Boularias, Jens Kober, Jan Peters; JMLR Workshop and Conference Proceedings 15:182-189

Switch-Reset Models : Exact and Approximate Inference

Chris Bracegirdle, David Barber; JMLR Workshop and Conference Proceedings 15:190-198

Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models

Edward Challis, David Barber; JMLR Workshop and Conference Proceedings 15:199-207

Contextual Bandits with Linear Payoff Functions

Wei Chu, Lihong Li, Lev Reyzin, Robert Schapire; JMLR Workshop and Conference Proceedings 15:208-214

An Analysis of Single-Layer Networks in Unsupervised Feature Learning

Adam Coates, Andrew Ng, Honglak Lee; JMLR Workshop and Conference Proceedings 15:215-223

Deep Learning for Efficient Discriminative Parsing

Ronan Collobert; JMLR Workshop and Conference Proceedings 15:224-232

A Spike and Slab Restricted Boltzmann Machine

Aaron Courville, James Bergstra, Yoshua Bengio; JMLR Workshop and Conference Proceedings 15:233-241

Optimal and Robust Price Experimentation: Learning by Lottery

Christopher Dance, Onno Zoeter; JMLR Workshop and Conference Proceedings 15:242-250

Bagged Structure Learning of Bayesian Network

Gal Elidan; JMLR Workshop and Conference Proceedings 15:251-259

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities

Brian Eriksson, Gautam Dasarathy, Aarti Singh, Rob Nowak; JMLR Workshop and Conference Proceedings 15:260-268

A novel greedy algorithm for Nyström approximation

Ahmed Farahat, Ali Ghodsi, Mohamed Kamel; JMLR Workshop and Conference Proceedings 15:269-277

Revisiting MAP Estimation, Message Passing and Perfect Graphs

James Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler; JMLR Workshop and Conference Proceedings 15:278-286

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks

James Foulds, Christopher DuBois, Arthur Asuncion, Carter Butts, Padhraic Smyth; JMLR Workshop and Conference Proceedings 15:287-295

Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso

Rahul Garg, Rohit Khandekar; JMLR Workshop and Conference Proceedings 15:296-304

Learning from positive and unlabeled examples by enforcing statistical significance

Pierre Geurts; JMLR Workshop and Conference Proceedings 15:305-314

Deep Sparse Rectifier Neural Networks

Xavier Glorot, Antoine Bordes, Yoshua Bengio; JMLR Workshop and Conference Proceedings 15:315-323

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin; JMLR Workshop and Conference Proceedings 15:324-332

Multiscale Community Blockmodel for Network Exploration

Qirong Ho, Ankur Parikh, Le Song, Eric Xing; JMLR Workshop and Conference Proceedings 15:333-341

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks

Qirong Ho, Le Song, Eric Xing; JMLR Workshop and Conference Proceedings 15:342-350

Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources

Sue Ann Hong, Geoffrey Gordon; JMLR Workshop and Conference Proceedings 15:351-360

Fast b-matching via Sufficient Selection Belief Propagation

Bert Huang, Tony Jebara; JMLR Workshop and Conference Proceedings 15:361-369

Improved Loss Bounds For Multiple Kernel Learning

Zakria Hussain, John Shawe–Taylor; JMLR Workshop and Conference Proceedings 15:370-377

On Learning Discrete Graphical Models using Group-Sparse Regularization

Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi; JMLR Workshop and Conference Proceedings 15:378-387

Convergent Decomposition Solvers for Tree-reweighted Free Energies

Jeremy Jancsary, Gerald Matz; JMLR Workshop and Conference Proceedings 15:388-398

Convex envelopes of complexity controlling penalties: the case against premature envelopment

Vladimir Jojic, Suchi Saria, Daphne Koller; JMLR Workshop and Conference Proceedings 15:399-406

On Time Varying Undirected Graphs

Mladen Kolar, Eric Xing; JMLR Workshop and Conference Proceedings 15:407-415

Approximate inference for the loss-calibrated Bayesian

Simon Lacoste–Julien, Ferenc Huszár, Zoubin Ghahramani; JMLR Workshop and Conference Proceedings 15:416-424

Robust Bayesian Matrix Factorisation

Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau; JMLR Workshop and Conference Proceedings 15:425-433

Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection

Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan; JMLR Workshop and Conference Proceedings 15:434-442

Bayesian Hierarchical Cross-Clustering

Dazhuo Li, Patrick Shafto; JMLR Workshop and Conference Proceedings 15:443-451

Group Orthogonal Matching Pursuit for Logistic Regression

Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe; JMLR Workshop and Conference Proceedings 15:452-460

A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods

Hongtao Lu, Xianzhong Long, Jingyuan Lv; JMLR Workshop and Conference Proceedings 15:461-469

Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM

Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich; JMLR Workshop and Conference Proceedings 15:470-478

Hidden-Unit Conditional Random Fields

Laurens van der Maaten, Max Welling, Lawrence Saul; JMLR Workshop and Conference Proceedings 15:479-488

Learning mixtures of Gaussians with maximum-a-posteriori oracle

Satyaki Mahalanabis; JMLR Workshop and Conference Proceedings 15:489-497

CAKE: Convex Adaptive Kernel Density Estimation

Ravi Sastry Ganti Mahapatruni, Alexander Gray; JMLR Workshop and Conference Proceedings 15:498-506

Online Learning of Structured Predictors with Multiple Kernels

Andre Filipe Torres Martins, Noah Smith, Eric Xing, Pedro Aguiar, Mario Figueiredo; JMLR Workshop and Conference Proceedings 15:507-515

Estimating beta-mixing coefficients

Daniel McDonald, Cosma Shalizi, Mark Schervish; JMLR Workshop and Conference Proceedings 15:516-524

Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization

Brendan McMahan; JMLR Workshop and Conference Proceedings 15:525-533

Can matrix coherence be efficiently and accurately estimated?

Mehryar Mohri, Ameet Talwalkar; JMLR Workshop and Conference Proceedings 15:534-542

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents

Ramesh Nallapati, Daniel McFarland, Christopher Manning; JMLR Workshop and Conference Proceedings 15:543-551

Dimensionality Reduction for Spectral Clustering

Donglin Niu, Jennifer Dy, Michael I. Jordan; JMLR Workshop and Conference Proceedings 15:552-560

Maximum Volume Clustering

Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama; JMLR Workshop and Conference Proceedings 15:561-569

Adaptive Bandits: Towards the best history-dependent strategy

Maillard Odalric, Remi Munos; JMLR Workshop and Conference Proceedings 15:570-578

Generative Modeling for Maximizing Precision and Recall in Information Visualization

Jaakko Peltonen, Samuel Kaski; JMLR Workshop and Conference Proceedings 15:579-587

Faithfulness in Chain Graphs: The Gaussian Case

Jose M. Peña; JMLR Workshop and Conference Proceedings 15:588-599

Directional Statistics on Permutations

Sergey Plis, Stephen McCracken, Terran Lane, Vince Calhoun; JMLR Workshop and Conference Proceedings 15:600-608

On the Estimation of alpha-Divergences

Barnabas Poczos, Jeff Schneider; JMLR Workshop and Conference Proceedings 15:609-617

On NDCG Consistency of Listwise Ranking Methods

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang; JMLR Workshop and Conference Proceedings 15:618-626

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Stephane Ross, Geoffrey Gordon, Drew Bagnell; JMLR Workshop and Conference Proceedings 15:627-635

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback

Ankan Saha, Ambuj Tewari; JMLR Workshop and Conference Proceedings 15:636-642

Online Learning of Multiple Tasks and Their Relationships

Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian; JMLR Workshop and Conference Proceedings 15:643-651

Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference

Matthias Seeger, Hannes Nickisch; JMLR Workshop and Conference Proceedings 15:652-660

Spectral Clustering on a Budget

Ohad Shamir, Naftali Tishby; JMLR Workshop and Conference Proceedings 15:661-669

Mixed Cumulative Distribution Networks

Ricardo Silva, Charles Blundell, Yee Whye Teh; JMLR Workshop and Conference Proceedings 15:670-678

Asymptotic Theory for Linear-Chain Conditional Random Fields

Mathieu Sinn, Pascal Poupart; JMLR Workshop and Conference Proceedings 15:679-687

Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening

Ning Situ, Xiaojing Yuan, George Zouridakis; JMLR Workshop and Conference Proceedings 15:688-697

Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities

Richard Socher, Andrew Maas, Christopher Manning; JMLR Workshop and Conference Proceedings 15:698-706

Kernel Belief Propagation

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin; JMLR Workshop and Conference Proceedings 15:707-715

Machine Learning Markets

Amos Storkey; JMLR Workshop and Conference Proceedings 15:716-724

Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure

Veselin Stoyanov, Alexander Ropson, Jason Eisner; JMLR Workshop and Conference Proceedings 15:725-733

Estimating Probabilities in Recommendation Systems

Mingxuan Sun, Guy Lebanon, Paul Kidwell; JMLR Workshop and Conference Proceedings 15:734-742

Active Boosted Learning (ActBoost)

Kirill Trapeznikov, Venkatesh Saligrama, David Castanon; JMLR Workshop and Conference Proceedings 15:743-751

Online Variational Inference for the Hierarchical Dirichlet Process

Chong Wang, John Paisley, David Blei; JMLR Workshop and Conference Proceedings 15:752-760

Information Theoretical Clustering via Semidefinite Programming

Meihong Wang, Fei Sha; JMLR Workshop and Conference Proceedings 15:761-769

Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation

David Wingate, Andreas Stuhlmueller, Noah Goodman; JMLR Workshop and Conference Proceedings 15:770-778

Relational Learning with One Network: An Asymptotic Analysis

Rongjing Xiang, Jennifer Neville; JMLR Workshop and Conference Proceedings 15:779-788

Hierarchical Probabilistic Models for Group Anomaly Detection

Liang Xiong, Barnabas Poczos, Jeff Schneider, Andrew Connolly, Jake VanderPlas; JMLR Workshop and Conference Proceedings 15:789-797

Multicore Gibbs Sampling in Dense, Unstructured Graphs

Tianbing Xu, Alexander Ihler; JMLR Workshop and Conference Proceedings 15:798-806

Cross-Domain Object Matching with Model Selection

Makoto Yamada, Masashi Sugiyama; JMLR Workshop and Conference Proceedings 15:807-815

The Sample Complexity of Self-Verifying Bayesian Active Learning

Liu Yang, Steve Hanneke, Jaime Carbonell; JMLR Workshop and Conference Proceedings 15:816-822

Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality

Shuang–Hong Yang, Steven Crain, Hongyuan Zha; JMLR Workshop and Conference Proceedings 15:823-831

Efficient variable selection in support vector machines via the alternating direction method of multipliers

Gui–Bo Ye, Yifei Chen, Xiaohui Xie; JMLR Workshop and Conference Proceedings 15:832-840

A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems

Xiao–Tong Yuan, Shuicheng Yan; JMLR Workshop and Conference Proceedings 15:841-854

An Instantiation-Based Theorem Prover for First-Order Programming

Erik Zawadzki, Geoffrey Gordon, Andre Platzer; JMLR Workshop and Conference Proceedings 15:855-863

Generalization Bound for Infinitely Divisible Empirical Process

Chao Zhang, Dacheng Tao; JMLR Workshop and Conference Proceedings 15:864-872

Multi-Label Output Codes using Canonical Correlation Analysis

Yi Zhang, Jeff Schneider; JMLR Workshop and Conference Proceedings 15:873-882

Dependent Hierarchical Beta Process for Image Interpolation and Denoising

Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David Dunson, Lawrence Carin; JMLR Workshop and Conference Proceedings 15:883-891

Semi-supervised Learning by Higher Order Regularization

Xueyuan Zhou, Mikhail Belkin; JMLR Workshop and Conference Proceedings 15:892-900

Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning

Xueyuan Zhou, Nathan Srebro; JMLR Workshop and Conference Proceedings 15:901-908

Two-Layer Multiple Kernel Learning

Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi; JMLR Workshop and Conference Proceedings 15:909-917

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