Willsky, Alan S.

41 publications

JMLR 2013 Bayesian Nonparametric Hidden Semi-Markov Models Matthew J. Johnson, Alan S. Willsky

JMLR 2012 High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang, Alan S. Willsky

NeurIPS 2011 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions Animashree Anandkumar, Vincent Tan, Alan S. Willsky

JMLR 2011 Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky

JMLR 2011 Learning Latent Tree Graphical Models Myung Jin Choi, Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky

JMLR 2010 Classification Using Geometric Level Sets Kush R. Varshney, Alan S. Willsky

CVPR 2010 Exploiting Hierarchical Context on a Large Database of Object Categories Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky

UAI 2010 The Hierarchical Dirichlet Process Hidden Semi-Markov Model Matthew J. Johnson, Alan S. Willsky

ICML 2009 Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky

NeurIPS 2009 Sharing Features Among Dynamical Systems with Beta Processes Emily B. Fox, Michael I. Jordan, Erik B. Sudderth, Alan S. Willsky

ICML 2008 An HDP-HMM for Systems with State Persistence Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky

NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky

NeurIPS 2007 Adaptive Embedded Subgraph Algorithms Using Walk-Sum Analysis Venkat Chandrasekaran, Alan S. Willsky, Jason K. Johnson

CVPR 2007 Fiber Tract Clustering on Manifolds with Dual Rooted-Graphs Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero Iii, Alan S. Willsky

AISTATS 2007 Learning Markov Structure by Maximum Entropy Relaxation Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky

NeurIPS 2007 Linear Programming Analysis of Loopy Belief Propagation for Weighted Matching Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky

NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models Alan S. Willsky, Erik B. Sudderth, Martin J. Wainwright

NeurIPS 2007 Message Passing for Max-Weight Independent Set Sujay Sanghavi, Devavrat Shah, Alan S. Willsky

AISTATS 2007 Performance Guarantees for Information Theoretic Active Inference Jason L. Williams, John W. Fisher Iii, Alan S. Willsky

CVPR 2006 Depth from Familiar Objects: A Hierarchical Model for 3D Scenes Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky

JMLR 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky

NeurIPS 2005 Describing Visual Scenes Using Transformed Dirichlet Processes Antonio Torralba, Alan S. Willsky, Erik B. Sudderth, William T. Freeman

NeurIPS 2005 Inference with Minimal Communication: A Decision-Theoretic Variational Approach O. P. Kreidl, Alan S. Willsky

ICCV 2005 Learning Hierarchical Models of Scenes, Objects, and Parts Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky

JMLR 2005 Loopy Belief Propagation: Convergence and Effects of Message Errors Alexander T. Ihler, John W. Fisher Iii, Alan S. Willsky

NeurIPS 2005 Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation Dmitry Malioutov, Alan S. Willsky, Jason K. Johnson

NeurIPS 2004 Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky

NeurIPS 2004 Message Errors in Belief Propagation Alexander T. Ihler, John W. Fisher, Alan S. Willsky

CVPR 2004 Visual Hand Tracking Using Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky

CVPRW 2004 Visual Hand Tracking Using Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky

NeurIPS 2003 Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky

CVPR 2003 Nonparametric Belief Propagation Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky

AISTATS 2003 Tree-Reweighted Belief Propagation Algorithms and Approximate ML Estimation by Pseudo-Moment Matching Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky

UAI 2002 A New Class of Upper Bounds on the Log Partition Function Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky

NeurIPS 2002 Exact MAP Estimates by (Hyper)tree Agreement Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky

CVPR 2001 Model-Based Curve Evolution Technique for Image Segmentation Andy Tsai, Anthony J. Yezzi, William M. Wells Iii, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky

CVPR 2001 Statistics of Real-World Illumination Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky

NeurIPS 2001 Tree-Based Reparameterization for Approximate Inference on Loopy Graphs Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky

CVPR 2000 A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional Andy Tsai, Anthony J. Yezzi, Alan S. Willsky

NeurIPS 2000 Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky

ICCV 1999 A Statistical Approach to Snakes for Bimodal and Trimodal Imagery Anthony J. Yezzi, Andy Tsai, Alan S. Willsky