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Editors: Marina Meila, Xiaotong Shen
Preface
; 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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