Preface

Geoffrey Gordon, David Dunson; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:1-2

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Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables

Robert Tillman, Peter Spirtes; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:3-15

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

Jiji Zhang, Ricardo Silva; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:16-18

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Contextual Bandit Algorithms with Supervised Learning Guarantees

Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert Schapire; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:19-26

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Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees”

Brendan McMahan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:27-28

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The Neural Autoregressive Distribution Estimator

Hugo Larochelle, Iain Murray; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:29-37

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Discussion of “The Neural Autoregressive Distribution Estimator”

Yoshua Bengio; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:38-39

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Learning Scale Free Networks by Reweighted L1 regularization

Qiang Liu, Alexander Ihler; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:40-48

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

Deepak Agarwal; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:49-50

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Spectral Dimensionality Reduction via Maximum Entropy

Neil Lawrence; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:51-59

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Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”

Laurens van der Maaten; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:60-62

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A conditional game for comparing approximations

Frederik Eaton; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:63-71

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Discussion of “A conditional game for comparing approximations”

Vincent Conitzer; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:72-73

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The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling

John Paisley, Chong Wang, David Blei; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:74-82

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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, PMLR 15:83-84

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Generative Kernels for Exponential Families

Arvind Agarwal, Hal Daumé III; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:85-92

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Linear-Time Estimators for Propensity Scores

Deepak Agarwal, Lihong Li, Alexander Smola; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:93-100

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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; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:101-109

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Polytope samplers for inference in ill-posed inverse problems

Edoardo Airoldi, Bertrand Haas; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:110-118

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Dynamic Policy Programming with Function Approximation

Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:119-127

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Statistical Optimization of Non-Negative Matrix Factorization

Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:128-136

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Unsupervised Supervised Learning II: Margin-Based Classification without Labels

Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:137-145

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

Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:146-154

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

Gowtham Bellala, Suresh Bhavnani, Clayton Scott; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:155-163

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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; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:164-172

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Domain Adaptation with Coupled Subspaces

John Blitzer, Sham Kakade, Dean Foster; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:173-181

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Relative Entropy Inverse Reinforcement Learning

Abdeslam Boularias, Jens Kober, Jan Peters; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:182-189

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Switch-Reset Models : Exact and Approximate Inference

Chris Bracegirdle, David Barber; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:190-198

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

Edward Challis, David Barber; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:199-207

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Contextual Bandits with Linear Payoff Functions

Wei Chu, Lihong Li, Lev Reyzin, Robert Schapire; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:208-214

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An Analysis of Single-Layer Networks in Unsupervised Feature Learning

Adam Coates, Andrew Ng, Honglak Lee; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:215-223

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Deep Learning for Efficient Discriminative Parsing

Ronan Collobert; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:224-232

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A Spike and Slab Restricted Boltzmann Machine

Aaron Courville, James Bergstra, Yoshua Bengio; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:233-241

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Optimal and Robust Price Experimentation: Learning by Lottery

Christopher Dance, Onno Zoeter; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:242-250

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Bagged Structure Learning of Bayesian Network

Gal Elidan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:251-259

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

Brian Eriksson, Gautam Dasarathy, Aarti Singh, Rob Nowak; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:260-268

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A novel greedy algorithm for Nyström approximation

Ahmed Farahat, Ali Ghodsi, Mohamed Kamel; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:269-277

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Revisiting MAP Estimation, Message Passing and Perfect Graphs

James Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:278-286

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A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks

James Foulds, Christopher DuBois, Arthur Asuncion, Carter Butts, Padhraic Smyth; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:287-295

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

Rahul Garg, Rohit Khandekar; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:296-304

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Learning from positive and unlabeled examples by enforcing statistical significance

Pierre Geurts; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:305-314

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Deep Sparse Rectifier Neural Networks

Xavier Glorot, Antoine Bordes, Yoshua Bengio; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:315-323

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Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:324-332

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Multiscale Community Blockmodel for Network Exploration

Qirong Ho, Ankur Parikh, Le Song, Eric Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:333-341

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Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks

Qirong Ho, Le Song, Eric Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:342-350

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

Sue Ann Hong, Geoffrey Gordon; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:351-360

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Fast b-matching via Sufficient Selection Belief Propagation

Bert Huang, Tony Jebara; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:361-369

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Improved Loss Bounds For Multiple Kernel Learning

Zakria Hussain, John Shawe–Taylor; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:370-377

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On Learning Discrete Graphical Models using Group-Sparse Regularization

Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:378-387

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Convergent Decomposition Solvers for Tree-reweighted Free Energies

Jeremy Jancsary, Gerald Matz; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:388-398

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

Vladimir Jojic, Suchi Saria, Daphne Koller; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:399-406

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On Time Varying Undirected Graphs

Mladen Kolar, Eric Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:407-415

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Approximate inference for the loss-calibrated Bayesian

Simon Lacoste–Julien, Ferenc Huszár, Zoubin Ghahramani; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:416-424

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Robust Bayesian Matrix Factorisation

Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:425-433

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Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection

Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:434-442

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Bayesian Hierarchical Cross-Clustering

Dazhuo Li, Patrick Shafto; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:443-451

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Group Orthogonal Matching Pursuit for Logistic Regression

Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:452-460

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

Hongtao Lu, Xianzhong Long, Jingyuan Lv; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:461-469

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

Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:470-478

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Hidden-Unit Conditional Random Fields

Laurens van der Maaten, Max Welling, Lawrence Saul; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:479-488

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Learning mixtures of Gaussians with maximum-a-posteriori oracle

Satyaki Mahalanabis; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:489-497

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CAKE: Convex Adaptive Kernel Density Estimation

Ravi Sastry Ganti Mahapatruni, Alexander Gray; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:498-506

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Online Learning of Structured Predictors with Multiple Kernels

Andre Filipe Torres Martins, Noah Smith, Eric Xing, Pedro Aguiar, Mario Figueiredo; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:507-515

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Estimating beta-mixing coefficients

Daniel McDonald, Cosma Shalizi, Mark Schervish; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:516-524

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

Brendan McMahan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:525-533

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Can matrix coherence be efficiently and accurately estimated?

Mehryar Mohri, Ameet Talwalkar; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:534-542

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

Ramesh Nallapati, Daniel McFarland, Christopher Manning; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:543-551

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Dimensionality Reduction for Spectral Clustering

Donglin Niu, Jennifer Dy, Michael I. Jordan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:552-560

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Maximum Volume Clustering

Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:561-569

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Adaptive Bandits: Towards the best history-dependent strategy

Maillard Odalric, Remi Munos; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:570-578

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Generative Modeling for Maximizing Precision and Recall in Information Visualization

Jaakko Peltonen, Samuel Kaski; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:579-587

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Faithfulness in Chain Graphs: The Gaussian Case

Jose M. Peña; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:588-599

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Directional Statistics on Permutations

Sergey Plis, Stephen McCracken, Terran Lane, Vince Calhoun; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:600-608

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On the Estimation of alpha-Divergences

Barnabas Poczos, Jeff Schneider; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:609-617

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On NDCG Consistency of Listwise Ranking Methods

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:618-626

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

Stephane Ross, Geoffrey Gordon, Drew Bagnell; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:627-635

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Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback

Ankan Saha, Ambuj Tewari; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:636-642

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Online Learning of Multiple Tasks and Their Relationships

Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:643-651

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Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference

Matthias Seeger, Hannes Nickisch; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:652-660

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Spectral Clustering on a Budget

Ohad Shamir, Naftali Tishby; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:661-669

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Mixed Cumulative Distribution Networks

Ricardo Silva, Charles Blundell, Yee Whye Teh; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:670-678

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Asymptotic Theory for Linear-Chain Conditional Random Fields

Mathieu Sinn, Pascal Poupart; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:679-687

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

Ning Situ, Xiaojing Yuan, George Zouridakis; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:688-697

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Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities

Richard Socher, Andrew Maas, Christopher Manning; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:698-706

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Kernel Belief Propagation

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:707-715

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Machine Learning Markets

Amos Storkey; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:716-724

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

Veselin Stoyanov, Alexander Ropson, Jason Eisner; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:725-733

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Estimating Probabilities in Recommendation Systems

Mingxuan Sun, Guy Lebanon, Paul Kidwell; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:734-742

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Active Boosted Learning (ActBoost)

Kirill Trapeznikov, Venkatesh Saligrama, David Castanon; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:743-751

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Online Variational Inference for the Hierarchical Dirichlet Process

Chong Wang, John Paisley, David Blei; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:752-760

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Information Theoretical Clustering via Semidefinite Programming

Meihong Wang, Fei Sha; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:761-769

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Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation

David Wingate, Andreas Stuhlmueller, Noah Goodman; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:770-778

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Relational Learning with One Network: An Asymptotic Analysis

Rongjing Xiang, Jennifer Neville; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:779-788

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Hierarchical Probabilistic Models for Group Anomaly Detection

Liang Xiong, Barnabas Poczos, Jeff Schneider, Andrew Connolly, Jake VanderPlas; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:789-797

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Multicore Gibbs Sampling in Dense, Unstructured Graphs

Tianbing Xu, Alexander Ihler; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:798-806

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Cross-Domain Object Matching with Model Selection

Makoto Yamada, Masashi Sugiyama; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:807-815

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The Sample Complexity of Self-Verifying Bayesian Active Learning

Liu Yang, Steve Hanneke, Jaime Carbonell; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:816-822

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

Shuang–Hong Yang, Steven Crain, Hongyuan Zha; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:823-831

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

Gui–Bo Ye, Yifei Chen, Xiaohui Xie; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:832-840

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A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems

Xiao–Tong Yuan, Shuicheng Yan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:841-854

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An Instantiation-Based Theorem Prover for First-Order Programming

Erik Zawadzki, Geoffrey Gordon, Andre Platzer; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:855-863

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Generalization Bound for Infinitely Divisible Empirical Process

Chao Zhang, Dacheng Tao; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:864-872

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Multi-Label Output Codes using Canonical Correlation Analysis

Yi Zhang, Jeff Schneider; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:873-882

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Dependent Hierarchical Beta Process for Image Interpolation and Denoising

Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David Dunson, Lawrence Carin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:883-891

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Semi-supervised Learning by Higher Order Regularization

Xueyuan Zhou, Mikhail Belkin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:892-900

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Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning

Xueyuan Zhou, Nathan Srebro; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:901-908

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Two-Layer Multiple Kernel Learning

Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:909-917

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