NIPS Proceedingsβ

Tommi S. Jaakkola

17 Papers

  • Convergence Rate Analysis of MAP Coordinate Minimization Algorithms (2012)
  • More data means less inference: A pseudo-max approach to structured learning (2010)
  • Clusters and Coarse Partitions in LP Relaxations (2008)
  • Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations (2007)
  • New Outer Bounds on the Marginal Polytope (2007)
  • Approximate inference using planar graph decomposition (2006)
  • Game Theoretic Algorithms for Protein-DNA binding (2006)
  • Parameter Expanded Variational Bayesian Methods (2006)
  • Distributed Information Regularization on Graphs (2004)
  • Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices (2004)
  • Maximum-Margin Matrix Factorization (2004)
  • Bias-Corrected Bootstrap and Model Uncertainty (2003)
  • Linear Dependent Dimensionality Reduction (2003)
  • Online Learning of Non-stationary Sequences (2003)
  • Exact MAP Estimates by (Hyper)tree Agreement (2002)
  • Information Regularization with Partially Labeled Data (2002)
  • On the Dirichlet Prior and Bayesian Regularization (2002)