NIPS Proceedingsβ

Stefano Ermon

10 Papers

  • A-NICE-MC: Adversarial Training for MCMC (2017)
  • Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs (2017)
  • Neural Variational Inference and Learning in Undirected Graphical Models (2017)
  • Adaptive Concentration Inequalities for Sequential Decision Problems (2016)
  • Generative Adversarial Imitation Learning (2016)
  • Solving Marginal MAP Problems with NP Oracles and Parity Constraints (2016)
  • Variational Bayes on Monte Carlo Steroids (2016)
  • Embed and Project: Discrete Sampling with Universal Hashing (2013)
  • Density Propagation and Improved Bounds on the Partition Function (2012)
  • Accelerated Adaptive Markov Chain for Partition Function Computation (2011)