NIPS Proceedingsβ

Stuart J. Russell

13 Papers

  • Learning Plannable Representations with Causal InfoGAN (2018)
  • Meta-Learning MCMC Proposals (2018)
  • Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making (2018)
  • Inverse Reward Design (2017)
  • Cooperative Inverse Reinforcement Learning (2016)
  • Gaussian Process Random Fields (2015)
  • Algorithm selection by rational metareasoning as a model of human strategy selection (2014)
  • Multilinear Dynamical Systems for Tensor Time Series (2013)
  • Global seismic monitoring as probabilistic inference (2010)
  • Probabilistic detection of short events, with application to critical care monitoring (2008)
  • A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences (2002)
  • Distance Metric Learning with Application to Clustering with Side-Information (2002)
  • Identity Uncertainty and Citation Matching (2002)