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All publications by Alan S. Willsky
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High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan and Alan S. Willsky
Advances in Neural Information Processing Systems 24, 2011


Exploiting sparse Markov {\it and} covariance structure in multiresolution models
Myung J. Choi, Venkat Chandrasekaran and Alan S. Willsky
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Sharing Features among Dynamical Systems with Beta Processes
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan and Alan S. Willsky
Advances in Neural Information Processing Systems 22, 2009


An HDP-HMM for systems with state persistence
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan and Alan S. Willsky
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Alan S. Willsky, Michael I. Jordan and Alan S. Willsky
Advances in Neural Information Processing Systems 21, 2008


Message Passing for Max-weight Independent Set
Sujay Sanghavi, Devavrat Shah and Alan S. Willsky
Advances in Neural Information Processing Systems 20, 2007


Linear programming analysis of loopy belief propagation for weighted matching
Sujay Sanghavi, Dmitry Malioutov and Alan S. Willsky
Advances in Neural Information Processing Systems 20, 2007


Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran, Alan S. Willsky and Jason K. Johnson
Advances in Neural Information Processing Systems 20, 2007


Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Alan S. Willsky, Erik B. Sudderth and Martin J. Wainwright
Advances in Neural Information Processing Systems 20, 2007


Performance Guarantees for Information Theoretic Active Inference
Jason L. Williams, John Iii and Alan S. Willsky
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Learning Markov Structure by Maximum Entropy Relaxation
Jason K. Johnson, Venkat Chandrasekaran and Alan S. Willsky
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Walk-Sums and Belief Propagation in Gaussian Graphical Models
Dmitry M. Malioutov, Jason K. Johnson and Alan S. Willsky
Journal of Machine Learning Research, 2006


Describing Visual Scenes using Transformed Dirichlet Processes
Antonio Torralba, Alan S. Willsky, Erik B. Sudderth and William T. Freeman
Advances in Neural Information Processing Systems 18, 2005


Inference with Minimal Communication: a Decision-Theoretic Variational Approach
O. P. Kreidl and Alan S. Willsky
Advances in Neural Information Processing Systems 18, 2005


Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation
Dmitry Malioutov, Alan S. Willsky and Jason K. Johnson
Advances in Neural Information Processing Systems 18, 2005


Loopy Belief Propagation: Convergence and Effects of Message Errors
Alexander T. Ihler, John Iii and Alan S. Willsky
Journal of Machine Learning Research, 2005


Message Errors in Belief Propagation
Alexander T. Ihler, John W. Fisher and Alan S. Willsky
Advances in Neural Information Processing Systems 17, 2004


Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
Erik B. Sudderth, Michael I. Mandel, William T. Freeman and Alan S. Willsky
Advances in Neural Information Processing Systems 17, 2004


Efficient Multiscale Sampling from Products of Gaussian Mixtures
Alexander T. Ihler, Erik B. Sudderth, William T. Freeman and Alan S. Willsky
Advances in Neural Information Processing Systems 16, 2003


Exact MAP Estimates by (Hyper)tree Agreement
Alan S. Willsky, Martin J. Wainwright and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002


Tree-based reparameterization for approximate inference on loopy graphs
Martin J. Wainwright, Tommi Jaakkola and Alan S. Willsky
Advances in Neural Information Processing Systems 14, 2001