NIPS Proceedingsβ

Amir Globerson

11 Papers

  • Convergence Rate Analysis of MAP Coordinate Minimization Algorithms (2012)
  • More data means less inference: A pseudo-max approach to structured learning (2010)
  • An LP View of the M-best MAP problem (2009)
  • Clusters and Coarse Partitions in LP Relaxations (2008)
  • Convex Learning with Invariances (2007)
  • Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations (2007)
  • Approximate inference using planar graph decomposition (2006)
  • Metric Learning by Collapsing Classes (2005)
  • Euclidean Embedding of Co-Occurrence Data (2004)
  • Information Bottleneck for Gaussian Variables (2003)
  • Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway (2001)