JMLR Editorial Board

Editors-in-Chief

Managing Editors

Editorial Assistant

Production Editor

Web Master

JMLR Action Editors

JMLR-MLOSS Editors

  • Alexandre Gramfort, INRIA, Université Paris-Saclay, France. supervised learning, convex optimization, sparse methods, machine learning software, applications in neuroscience
  • Antti Honkela, University of Helsinki, Finland. Probabilistic modelling, approximate inference, bioinformatics
  • Sebastian Schelter, University of Amsterdam & Apache Software Foundation. Data management for machine learning; data quality; relational data preparation.
  • Joaquin Vanschoren, Eindhoven University of Technology, Netherlands. Automated machine learning, meta-learning, machine learning software.

JMLR Editorial board of reviewers

The Editorial board of reviewers is a collection of trusted reviewers, which commit to review at least 2 papers per year. Please reach out to us at editor@jmlr.org if you'd like to volunteer to be in this list of trusted reviewers:

JMLR Advisory Board

  • Shun-Ichi Amari, RIKEN Brain Science Institute, Japan
  • Andrew Barto, University of Massachusetts at Amherst, USA
  • Thomas Dietterich, Oregon State University, USA
  • Jerome Friedman, Stanford University, USA
  • Stuart Geman, Brown University, USA
  • Geoffrey Hinton, University of Toronto, Canada
  • Michael Jordan, University of California at Berkeley at USA
  • Leslie Pack Kaelbling, Massachusetts Institute of Technology, USA
  • Michael Kearns, University of Pennsylvania, USA
  • Steven Minton, InferLink, USA
  • Tom Mitchell, Carnegie Mellon University, USA
  • Stephen Muggleton, Imperial College London, UK
  • Kevin Murphy, Google, USA
  • Tomaso Poggio, Massachusetts Institute of Technology, USA
  • Ross Quinlan, Rulequest Research Pty Ltd, Australia
  • Stuart Russell, University of California at Berkeley, USA
  • Lawrence Saul, University of California at San Diego, USA
  • Terrence Sejnowski, Salk Institute for Biological Studies, USA
  • Richard Sutton, University of Alberta, Canada
  • Leslie Valiant, Harvard University, USA