NIPS Proceedingsβ

Kevin P. Murphy

10 Papers

  • Language as an Abstraction for Hierarchical Deep Reinforcement Learning (2019)
  • Unsupervised learning of object structure and dynamics from videos (2019)
  • Bayesian dark knowledge (2015)
  • Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression (2012)
  • Variational bounds for mixed-data factor analysis (2010)
  • Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models (2009)
  • Contextual Models for Object Detection Using Boosted Random Fields (2004)
  • Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes (2003)
  • Linear-time inference in Hierarchical HMMs (2001)
  • Bayesian Map Learning in Dynamic Environments (1999)