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UC Davis Statistical Sciences Symposium 2016:
Statistical Machine Learning : Theory and Methods

April 23 (Saturday), 2016

Department of Statistics

Math Sciences Bldg
University of California, Davis
One Shields Avenue
Davis, CA 95616

April 23 (Saturday), 2016

Hosted by the Department of Statistics, University of California, Davis

Co-Sponsored by the Institute of Mathematical Statistics ; the MPS Dean's Office of UC Davis; UC Davis Graduate School of Management; the National Science Foundation via an RTG training grant


The Department of Statistics will host a workshop that will serve as a forum to discuss recent developments in machine learning. It will take place on the campus of the University of California, Davis (Buehler Alumni Center, Room AGR), and is scheduled on Saturday April 23, 2016.

REGISTRATION is free. All participants are required to register HERE.

Confirmed speakers are:

  • Alekh Agarwal (Microsoft Research)
  • Jelena Bradic (UCSD)
  • Emmanuel Candes (Stanford)
  • Chen-Nee Chuah (UC Davis)
  • Ian Davidson (UC Davis)
  • Sham Kakade (University of Washington)
  • Michael Mahoney (UC Berkeley)
  • Marina Meila (University of Washington)
  • Vikas Sindhwani (Google Research)

Social event : There will be a symposium dinner at the Buehler Alumni Center on April 23 evening.

Organizing Committee: Cho-Jui Hsieh, Thomas Lee, Xiaodong Li, Miles Lopes, James Sharpnack