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All publications at Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09)
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Reversible Jump MCMC for Non-Negative Matrix Factorization
Mingjun Zhong and Mark Girolami
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Coherence Functions for Multicategory Margin-based Classification Methods
Zhihua Zhang, Michael I. Jordan, Wu-jun Li and Dit-yan Yeung
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Latent Variable Models for Dimensionality Reduction
Zhihua Zhang and Michael I. Jordan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Active Sensing
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales and R. B. Rao
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Dual Temporal Difference Learning
Min Yang, Yuxi Li and Dale Schuurmans
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tree-Based Inference for Dirichlet Process Mixtures
Yang Xu, Katherine A. Heller and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Speed and Sparsity of Regularized Boosting
Yongxin T. Xi, Zhen J. Xiang, Peter J. Ramadge and Robert E. Schapire
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation
Frank Wood and Yee W. Teh
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Non-Negative Semi-Supervised Learning
Changhu Wang, Shuicheng Yan, Lei Zhang and Hongjiang Zhang
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Markov Topic Models
Chong Wang, Bo Thiesson, Christopher Meek and David M. Blei
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Large-Margin Structured Prediction via Linear Programming
Zhuoran Wang and John Shawe-taylor
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


An Information Geometry Approach for Distance Metric Learning
Shijun Wang and Rong Jin
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Variational Learning of Inducing Variables in Sparse Gaussian Processes
Michalis K. Titsias
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Variable Metric Stochastic Approximation Theory
Peter Sunehag, Jochen Trumpf, Nicol N. Schraudolph and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


The Block Diagonal Infinite Hidden Markov Model
Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon and Tai S. Lee
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tree Block Coordinate Descent for MAP in Graphical Models
David Sontag and Tommi Jaakkola
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tractable Bayesian Inference of Time-Series Dependence Structure
Michael Siracusa and John Iii
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Factorial Mixture of Gaussians and the Marginal Independence Model
Ricardo Silva and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


MCMC Methods for Bayesian Mixtures of Copulas
Ricardo Silva and Robert B. Gramacy
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Locally Minimax Optimal Predictive Modeling with Bayesian Networks
Tomi Silander, Teemu Roos and Petri Myllymäki
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Hash Kernels
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander L. Strehl, Alex J. Smola and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Efficient graphlet kernels for large graph comparison
Nino Shervashidze, Tobias Petri, Kurt Mehlhorn, Karsten M. Borgwardt and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


PAC-Bayes Analysis Of Maximum Entropy Classification
John Shawe-taylor and David R. Hardoon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Learning Thin Junction Trees via Graph Cuts
Dafna Shahaf and Carlos Guestrin
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering
Yevgeny Seldin and Naftali Tishby
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Novelty detection: Unlabeled data definitely help
Clayton Scott and Gilles Blanchard
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm
Mark W. Schmidt, Ewout Berg, Michael P. Friedlander and Kevin P. Murphy
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Deep Boltzmann Machines
Ruslan Salakhutdinov and Geoffrey E. Hinton
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Sequential Learning of Classifiers for Structured Prediction Problems
Dan Roth, Kevin Small and Ivan Titov
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Learning the Switching Rate by Discretising Bernoulli Sources Online
Steven D. Rooij and Tim V. Erven
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Inverse Optimal Heuristic Control for Imitation Learning
Nathan D. Ratliff, Brian D. Ziebart, Kevin Peterson, J. A. Bagnell, Martial Hebert, Anind K. Dey and Siddhartha S. Srinivasa
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Chromatic PAC-Bayes Bounds for Non-IID Data
Liva Ralaivola, Marie Szafranski and Guillaume Stempfel
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Spanning Tree Approximations for Conditional Random Fields
Patrick Pletscher, Cheng S. Ong and Joachim M. Buhmann
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Exact and Approximate Sampling by Systematic Stochastic Search
Vikash K. Mansinghka, Daniel M. Roy, Eric Jonas and Joshua B. Tenenbaum
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tractable Search for Learning Exponential Models of Rankings
Bhushan Mandhani and Marina Meila
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Learning a Parametric Embedding by Preserving Local Structure
Laurens Maaten
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Estimation Consistency of the Group Lasso and its Applications
Han Liu and Jian Zhang
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


A kernel method for unsupervised structured network inference
Christoph Lippert, Oliver Stegle, Zoubin Ghahramani and Karsten M. Borgwardt
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Learning Sparse Markov Network Structure via Ensemble-of-Trees Models
Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee and Ben Taskar
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Latent Wishart Processes for Relational Kernel Learning
Wu-jun Li, Zhihua Zhang and Dit-yan Yeung
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tighter and Convex Maximum Margin Clustering
Yu-feng Li, Ivor W. Tsang, James T. Kwok and Zhi-hua Zhou
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Learning Exercise Policies for American Options
Yuxi Li, Csaba Szepesvári and Dale Schuurmans
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Kernel Learning by Unconstrained Optimization
Fuxin Li, Yun-shan Fu, Yu-hong Dai, Cristian Sminchisescu and Jue Wang
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Group Nonnegative Matrix Factorization for EEG Classification
Hyekyoung Lee and Seungjin Choi
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Deep Learning using Robust Interdependent Codes
Hugo Larochelle, Dumitru Erhan and Pascal Vincent
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Sampling Techniques for the Nystrom Method
Sanjiv Kumar, Mehryar Mohri and Ameet Talwalkar
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Convex Perturbations for Scalable Semidefinite Programming
Brian Kulis, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression
Nicole Krämer, Masashi Sugiyama and Mikio L. Braun
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings
Minyoung Kim and Vladimir Pavlovic
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Sleeping Experts and Bandits with Stochastic Action Availability and Adversarial Rewards
Varun Kanade, H. B. Mcmahan and Brent Bryan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Data Biased Robust Counter Strategies
Michael Johanson and Michael H. Bowling
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Relative Novelty Detection
Le Song, Choon H. Teo and Alex J. Smola
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Particle Belief Propagation
Alexander T. Ihler and David A. Mcallester
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Maximum Entropy Density Estimation with Incomplete Presence-Only Data
Bert C. Huang and Ansaf Salleb-aouissi
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Exploiting Probabilistic Independence for Permutations
Jonathan Huang, Carlos Guestrin, Xiaoye Jiang and Leonidas J. Guibas
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward
Matthew D. Hoffman, Nando D. Freitas, Arnaud Doucet and Jan R. Peters
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Infinite Hierarchical Hidden Markov Models
Katherine A. Heller, Yee W. Teh and Dilan Görür
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Distilled sensing: selective sampling for sparse signal recovery
Jarvis Haupt, Rui Castro and Robert Nowak
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Network Completion and Survey Sampling
Steve Hanneke and Eric P. Xing
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Active Learning as Non-Convex Optimization
Andrew Guillory, Erick Chastain and Jeff Bilmes
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Visualization Databases for the Analysis of Large Complex Datasets
Saptarshi Guha, Paul Kidwell, Ryan Hafen and William S. Cleveland
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Sparse Probabilistic Principal Component Analysis
Yue Guan and Jennifer G. Dy
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Residual Splash for Optimally Parallelizing Belief Propagation
Joseph Gonzalez, Yucheng Low and Carlos Guestrin
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Multi-Manifold Semi-Supervised Learning
Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu and Robert Nowak
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Semi-Supervised Affinity Propagation with Instance-Level Constraints
Inmar E. Givoni and Brendan J. Frey
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training
Dumitru Erhan, Pierre-antoine Manzagol, Yoshua Bengio, Samy Bengio and Pascal Vincent
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Choosing a Variable to Clamp
Frederik Eaton and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Variational Inference for the Indian Buffet Process
Finale Doshi, Kurt Miller, Jurgen V. Gael and Yee W. Teh
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
Joshua V. Dillon and Guy Lebanon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Matching Pursuit Kernel Fisher Discriminant Analysis
Tom Diethe, Zakria Hussain, David R. Hardoon and John Shawe-taylor
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Gaussian Margin Machines
Koby Crammer, Mehryar Mohri and Fernando Pereira
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


On Partitioning Rules for Bipartite Ranking
Stéphan Clémençcon and Nicolas Vayatis
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Probabilistic Models for Incomplete Multi-dimensional Arrays
Wei Chu and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Relational Topic Models for Document Networks
Jonathan Chang and David M. Blei
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Handling Sparsity via the Horseshoe
Carlos M. Carvalho, Nicholas G. Polson and James G. Scott
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Online Inference of Topics with Latent Dirichlet Allocation
Kevin R. Canini, Lei Shi and Thomas L. Griffiths
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Structure Identification by Optimized Interventions
Alberto G. Busetto and Joachim M. Buhmann
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


A New Perspective for Information Theoretic Feature Selection
Gavin Brown
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming
Héctor C. Bravo, Stephen J. Wright, Kevin Eng, Sunduz Keles and Grace Wahba
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Supervised Spectral Latent Variable Models
Liefeng Bo and Cristian Sminchisescu
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Learning Low Density Separators
Shai Ben-david, Tyler Lu, Dávid Pál and Miroslava Sotáková
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Variational Bridge Regression
Artin Armagan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Latent Force Models
Mauricio A. Álvarez, David Luengo and Neil D. Lawrence
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Clusterability: A Theoretical Study
Margareta Ackerman and Shai Ben-david
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009