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Martin J. Wainwright

Picture of Cory Hall
Biography Papers Books Teaching Prospective Students Group members  

Chancellor's Professor
Department of Electrical Engineering and Computer Sciences
Department of Statistics
University of California at Berkeley


Contact information

EECS information:

263 Cory Hall
Berkeley, CA 94720
Phone: (510) 643-1978
Fax: (510) 643-7846
Email: x@y with x=wainwrig y=eecs.berkeley.edu
Statistics information:

421 Evans Hall #3860
Berkeley, CA 94720-3860
Phone: (510)-643-1975
Fax: (510) 642-7892
Email: x@y with x=wainwrig y=stat.berkeley.edu

Research affiliations and useful links

  • BLISS: Berkeley Laboratory for Information and System Sciences

  • BAIR: Berkeley Artificial Intelligence Lab


    Some seminars and reading groups

    Upcoming seminars in the Department of Statistics.
    Signal Processing, Networking and Communication Seminar in the Department of EECS.

    Books

  • M. J. Wainwright (2019) High-dimensional statistics: A non-asymptotic viewpoint. Cambridge University Press.
    Errata page
    Link to Cambridge University Press website
    Link to Amazon

  • T. Hastie, R. Tibshirani and M. J. Wainwright (2015). Statistical Learning with Sparsity: the Lasso and Generalizations. Chapman and Hall/CRC Press, Series in Statistics and Applied Probability.

  • M. J. Wainwright and M. I. Jordan (2008). Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, Vol. 1, Numbers 1--2, pp. 1--305, December 2008.

    Publications

    Current group members

    Graduate students

  • Jianbo Chen
  • Raaz Dwivedi
  • Billy Fang
  • Koulik Khamaru
  • Wenlong Mou
  • Ashwin Pananjady

    Postdoctoral researchers

  • Nhat Ho

    Alumni

  • Alekh Agarwal Senior Research Scientist, Microsoft Research, Redmond.
  • Arash Amini Assistant Professor, Dept. of Statistics, UCLA
  • Sivaraman Balakrishnan, Assistant Professor, Dept. of Statistics, CMU
  • Joseph Bradley Databricks
  • Yudong Chen, Assistant Professor, ORIE, Cornell University
  • Alexandros D.G. Dimakis Associate Professor, Department of ECE, UT Austin
  • John Duchi, Assistant Professor, Departments of Statistics and EE, Stanford University
  • Pamela Lee, Associate, Gibson, Dunn & Crutcher
  • Po-Ling Loh, Assistant Professor, Department of Electrical and Computer Engineering, Univ. Wisconsin, Madison.
  • Matt Johnson, Senior Research Scientist, Google Brain
  • Johannes Lederer, Assistant Professor, University of Washington
  • Sahand Negahban Assistant Professor, Department of Statistics, Yale University.
  • XuanLong Nguyen Associate Professor, Department of Statistics, Univ. Michigan
  • Nima Noorshams, Senior Data Scientist, C3 IoT
  • Jonas Peters Associate Professor, Department of Mathematical Sciences, University of Copenhagen
  • Mert Pilanci, Assistant Professor, Department of Electrical Engineering, Stanford University
  • Aaditya Ramdas, Assistant Professor, Department of Statistics, CMU
  • Garvesh Raskutti Associate Professor, Department of Statistics, Univ. Wisconsin-Madison
  • Pradeep Ravikumar Associate Professor, Machine Learning Department, CMU
  • Prasad Santhanam Assistant Professor, Department of ECE, University of Hawaii
  • Nihar Shah Assistant Professor, Machine Learning Department, CMU
  • Mahdi Soltanolkotabi, Assistant Professor, Department of EE, University of Southern California
  • Yuting Wei Assistant Professor, Department of Statistics, CMU
  • Fanny Yang Assistant Professor, Computer Science, ETH Zurich
  • Sameer Vermani, Engineer, Qualcomm
  • Yun Yang, Assistant Professor, University of Illinois, Urbana-Champaign
  • Yuchen Zhang, Postdoc, Stanford University
    Last updated 01/2019