NIPS Proceedingsβ

Alan S. Willsky

16 Papers

  • High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions (2011)
  • Sharing Features among Dynamical Systems with Beta Processes (2009)
  • Nonparametric Bayesian Learning of Switching Linear Dynamical Systems (2008)
  • Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis (2007)
  • Linear programming analysis of loopy belief propagation for weighted matching (2007)
  • Loop Series and Bethe Variational Bounds in Attractive Graphical Models (2007)
  • Message Passing for Max-weight Independent Set (2007)
  • Describing Visual Scenes using Transformed Dirichlet Processes (2005)
  • Inference with Minimal Communication: a Decision-Theoretic Variational Approach (2005)
  • Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation (2005)
  • Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation (2004)
  • Message Errors in Belief Propagation (2004)
  • Efficient Multiscale Sampling from Products of Gaussian Mixtures (2003)
  • Exact MAP Estimates by (Hyper)tree Agreement (2002)
  • Tree-based reparameterization for approximate inference on loopy graphs (2001)
  • Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles (2000)