NIPS Proceedingsβ

Carlos Guestrin

12 Papers

  • Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization (2016)
  • Divide-and-Conquer Learning by Anchoring a Conical Hull (2014)
  • Linear Submodular Bandits and their Application to Diversified Retrieval (2011)
  • Evidence-Specific Structures for Rich Tractable CRFs (2010)
  • Inference with Multivariate Heavy-Tails in Linear Models (2010)
  • Riffled Independence for Ranked Data (2009)
  • Efficient Inference for Distributions on Permutations (2007)
  • Efficient Principled Learning of Thin Junction Trees (2007)
  • Selecting Observations against Adversarial Objectives (2007)
  • Distributed Inference in Dynamical Systems (2006)
  • Max-Margin Markov Networks (2003)
  • Multiagent Planning with Factored MDPs (2001)