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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 2: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico

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Editors: Marina Meila, Xiaotong Shen

[bib][citeproc]

Contents:

  • Preface
  • Accepted Papers

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Preface

Preface

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

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Accepted Papers

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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