NIPS Proceedingsβ

Ben Taskar

13 Papers

  • Expectation-Maximization for Learning Determinantal Point Processes (2014)
  • Approximate Inference in Continuous Determinantal Processes (2013)
  • Learning Adaptive Value of Information for Structured Prediction (2013)
  • Near-Optimal MAP Inference for Determinantal Point Processes (2012)
  • Semi-Supervised Learning with Adversarially Missing Label Information (2010)
  • Sidestepping Intractable Inference with Structured Ensemble Cascades (2010)
  • Structured Determinantal Point Processes (2010)
  • Posterior vs Parameter Sparsity in Latent Variable Models (2009)
  • Expectation Maximization and Posterior Constraints (2007)
  • Structured Prediction via the Extragradient Method (2005)
  • Exponentiated Gradient Algorithms for Large-margin Structured Classification (2004)
  • Link Prediction in Relational Data (2003)
  • Max-Margin Markov Networks (2003)