Preface

Marina Meila, Xiaotong Shen; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:1-2

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Policy-Gradients for PSRs and POMDPs

Douglas Aberdeen, Olivier Buffet, Owen Thomas; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:3-10

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Generalized Non-metric Multidimensional Scaling

Sameer Agarwal, Josh Wills, Lawrence Cayton, Gert Lanckriet, David Kriegman, Serge Belongie; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:11-18

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Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model

Amr Ahmed, Eric P. Xing; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:19-26

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A Boosting Algorithm for Label Covering in Multilabel Problems

Yonatan Amit, Ofer Dekel, Yoram Singer; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:27-34

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Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings

Avleen S. Bijral, Markus Breitenbach, Greg Grudic; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:35-42

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Kernel Multi-task Learning using Task-specific Features

Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:43-50

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A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data

Julie Carreau, Yoshua Bengio; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:51-58

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The Laplacian Eigenmaps Latent Variable Model

Miguel A. Carreira-Perpiñán, Zhengdong Lu; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:59-66

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Visualizing Similarity Data with a Mixture of Maps

James Cook, Ilya Sutskever, Andriy Mnih, Geoffrey Hinton; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:67-74

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Solving Markov Random Fields with Spectral Relaxation

Timothee Cour, Jianbo Shi; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:75-82

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Fast search for Dirichlet process mixture models

Hal Daume III; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:83-90

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Large-Margin Classification in Banach Spaces

Ricky Der, Daniel Lee; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:91-98

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Learning A* underestimates : Using inference to guide inference

Gregory Druck, Mukund Narasimhan, Paul Viola; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:99-106

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Exact Bayesian structure learning from uncertain interventions

Daniel Eaton, Kevin Murphy; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:107-114

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Online Learning of Search Heuristics

Michael Fink; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:115-122

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Deterministic Annealing for Multiple-Instance Learning

Peter V. Gehler, Olivier Chapelle; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:123-130

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Approximate inference using conditional entropy decompositions

Amir Globerson, Tommi Jaakkola; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:131-138

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Visualizing pairwise similarity via semidefinite programming

Amir Globerson, Sam Roweis; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:139-146

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SampleSearch: A Scheme that Searches for Consistent Samples

Vibhav Gogate, Rina Dechter; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:147-154

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Dissimilarity in Graph-Based Semi-Supervised Classification

Andrew B. Goldberg, Xiaojin Zhu, Stephen Wright; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:155-162

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Hidden Topic Markov Models

Amit Gruber, Yair Weiss, Michal Rosen-Zvi; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:163-170

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Space-Efficient Sampling

Sudipto Guha, Andrew McGregor; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:171-178

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Information Retrieval by Inferring Implicit Queries from Eye Movements

David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:179-186

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A Nonparametric Bayesian Approach to Modeling Overlapping Clusters

Katherine A. Heller, Zoubin Ghahramani; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:187-194

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Loopy Belief Propagation for Bipartite Maximum Weight b-Matching

Bert Huang, Tony Jebara; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:195-202

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Learning Markov Structure by Maximum Entropy Relaxation

Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:203-210

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Multi-object tracking with representations of the symmetric group

Risi Kondor, Andrew Howard, Tony Jebara; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:211-218

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MDL Histogram Density Estimation

Petri Kontkanen, Petri Myllymäki; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:219-226

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Incorporating Prior Knowledge on Features into Learning

Eyal Krupka, Naftali Tishby; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:227-234

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Fast Low-Rank Semidefinite Programming for Embedding and Clustering

Brian Kulis, Arun C. Surendran, John C. Platt; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:235-242

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Learning for Larger Datasets with the Gaussian Process Latent Variable Model

Neil D. Lawrence; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:243-250

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Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization

Svetlana Lazebnik, Maxim Raginsky; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:251-258

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Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data

Ann B. Lee, Boaz Nadler; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:259-266

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Efficient active learning with generalized linear models

Jeremy Lewi, Robert Butera, Liam Paninski; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:267-274

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A Bayesian Divergence Prior for Classiffier Adaptation

Xiao Li, Jeff Bilmes; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:275-282

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Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo

Han Liu, John Lafferty, Larry Wasserman; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:283-290

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Fisher Consistency of Multicategory Support Vector Machines

Yufeng Liu; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:291-298

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Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach

Zhengdong Lu; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:299-306

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Recall Systems: Effcient Learning and Use of Category Indices

Omid Madani, Wiley Greiner, David Kempe, Mohammad R. Salavatipour; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:307-314

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AClass: A simple, online, parallelizable algorithm for probabilistic classification

Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin, Josh Tenenbaum; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:315-322

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A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games

H. Brendan McMahan, Geoffrey J. Gordon; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:323-330

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Loop Corrected Belief Propagation

Joris Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:331-338

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Inductive Transfer for Bayesian Network Structure Learning

Alexandru Niculescu-Mizil, Rich Caruana; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:339-346

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Maximum Entropy Correlated Equilibria

Luis E. Ortiz, Robert E. Schapire, Sham M. Kakade; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:347-354

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Approximate Counting of Graphical Models Via MCMC

Jose M. Peña; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:355-362

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Margin based Transductive Graph Cuts using Linear Programming

K. Pelckmans, J. Shawe-Taylor, J.A.K. Suykens, B. De Moor; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:363-370

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A Unified Energy-Based Framework for Unsupervised Learning

Marc’Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:371-379

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(Approximate) Subgradient Methods for Structured Prediction

Nathan D. Ratliff, J. Andrew Bagnell, Martin A. Zinkevich; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:380-387

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A fast algorithm for learning large scale preference relations

Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:388-395

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The Rademacher Complexity of Co-Regularized Kernel Classes

David S. Rosenberg, Peter L. Bartlett; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:396-403

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Continuous Neural Networks

Nicolas Le Roux, Yoshua Bengio; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:404-411

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Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure

Ruslan Salakhutdinov, Geoff Hinton; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:412-419

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A Latent Space Approach to Dynamic Embedding of Co-occurrence Data

Purnamrita Sarkar, Sajid M. Siddiqi, Geogrey J. Gordon; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:420-427

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Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions

Martin Schaffoner, Edin Andelic, Marcel Katz, Sven E. Krüger, Andreas Wendemuth; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:428-435

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A Stochastic Quasi-Newton Method for Online Convex Optimization

Nicol N. Schraudolph, Jin Yu, Simon Günter; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:436-443

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Bayesian Inference and Optimal Design in the Sparse Linear Model

Matthias Seeger, Florian Steinke, Koji Tsuda; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:444-451

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A Unified Algorithmic Approach for Efficient Online Label Ranking

Shai Shalev-Shwartz, Yoram Singer; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:452-459

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Minimum Volume Embedding

Blake Shaw, Tony Jebara; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:460-467

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A Framework for Probability Density Estimation

John Shawe-Taylor, Alex Dolia; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:468-475

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Fast Kernel ICA using an Approximate Newton Method

Hao Shen, Stefanie Jegelka, Arthur Gretton; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:476-483

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Ellipsoidal Machines

Pannagadatta K. Shivaswamy, Tony Jebara; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:484-491

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Fast State Discovery for HMM Model Selection and Learning

Sajid M. Siddiqi, Geogrey J. Gordon, Andrew W. Moore; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:492-499

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Analogical Reasoning with Relational Bayesian Sets

Ricardo Silva, Katherine A. Heller, Zoubin Ghahramani; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:500-507

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Dynamic Factorization Tests: Applications to Multi-modal Data Association

Michael R. Siracusa, John W. Fisher III; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:508-515

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Generalized Darting Monte Carlo

Cristian Sminchisescu, Max Welling; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:516-523

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Local and global sparse Gaussian process approximations

Edward Snelson, Zoubin Ghahramani; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:524-531

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Predictive Discretization during Model Selection

Harald Steck, Tommi S. Jaakkola; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:532-539

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Emerge and spread models and word burstiness

Peter Sunehag; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:540-547

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Learning Multilevel Distributed Representations for High-Dimensional Sequences

Ilya Sutskever, Geoffrey Hinton; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:548-555

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Stick-breaking Construction for the Indian Buffet Process

Yee Whye Teh, Dilan Grür, Zoubin Ghahramani; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:556-563

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Hierarchical Beta Processes and the Indian Buffet Process

Romain Thibaux, Michael I. Jordan; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:564-571

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Nonlinear Dimensionality Reduction as Information Retrieval

Jarkko Venna, Samuel Kaski; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:572-579

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The Kernel Path in Kernelized LASSO

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:580-587

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Efficient large margin semisupervised learning

Junhui Wang; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:588-595

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Semi-Supervised Mean Fields

Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:596-603

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Fast Mean Shift with Accurate and Stable Convergence

Ping Wang, Dongryeol Lee, Alexander Gray, James M. Rehg; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:604-611

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Metric Learning for Kernel Regression

Kilian Q. Weinberger, Gerald Tesauro; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:612-619

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Performance Guarantees for Information Theoretic Active Inference

Jason L. Williams, John W. Fisher III, Alan S. Willsky; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:620-627

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Transductive Classification via Local Learning Regularization

Mingrui Wu, Bernhard Schölkopf; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:628-635

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How Powerful Can Any Regression Learning Procedure Be?

Yuhong Yang; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:636-643

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SVM versus Least Squares SVM

Jieping Ye, Tao Xiong; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:644-651

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Importance Sampling for General Hybrid Bayesian Networks

Changhe Yuan, Marek J. Druzdzel; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:652-659

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Nonnegative Garrote Component Selection in Functional ANOVA models

Ming Yuan; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:660-666

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Generalized Do-Calculus with Testable Causal Assumptions

Jiji Zhang; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:667-674

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An Improved 1-norm SVM for Simultaneous Classification and Variable Selection

Hui Zou; Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, PMLR 2:675-681

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