NIPS Proceedingsβ

Jeff A. Bilmes

17 Papers

  • Deep Submodular Functions: Definitions and Learning (2016)
  • Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications (2015)
  • Submodular Hamming Metrics (2015)
  • Divide-and-Conquer Learning by Anchoring a Conical Hull (2014)
  • Learning Mixtures of Submodular Functions for Image Collection Summarization (2014)
  • Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions (2013)
  • Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints (2013)
  • Submodular-Bregman and the Lovász-Bregman Divergences with Applications (2012)
  • On fast approximate submodular minimization (2011)
  • Online Submodular Set Cover, Ranking, and Repeated Active Learning (2011)
  • Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification (2009)
  • Label Selection on Graphs (2009)
  • Submodularity Cuts and Applications (2009)
  • Multi-dynamic Bayesian Networks (2006)
  • Q-Clustering (2005)
  • Optimal sub-graphical models (2004)
  • Necessary Intransitive Likelihood-Ratio Classifiers (2003)