Papers

  • Real-Time Machine Learning: The Missing Pieces
    Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul,
    Johann Schleier-Smith, Richard Liaw, Michael I. Jordan, Ion Stoica
    16th Workshop on Hot Topics in Operating Systems (HotOS), 2017
    [bib] [arXiv]
  • SparkNet: Training Deep Networks in Spark
    Philipp Moritz, Robert Nishihara, Ion Stoica, Michael I. Jordan
    International Conference on Learning Representations (ICLR), 2016
    [bib] [arXiv] [github]
  • A Linearly-Convergent Stochastic L-BFGS Algorithm
    Philipp Moritz, Robert Nishihara, Michael I. Jordan
    The 19th International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
    [bib] [arXiv] [code]
  • High-Dimensional Continuous Control Using Generalized Advantage Estimation
    John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, Pieter Abbeel
    International Conference on Learning Representations (ICLR), 2016
    [bib] [arXiv] [videos]
  • Trust Region Policy Optimization
    John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, Pieter Abbeel
    International Conference on Machine Learning (ICML), 2015
    [bib] [arXiv] [videos]