Homepage of Professor Yi Ma 
UC Berkeley EECS logo                                                                                                University of California, Berkeley  Berkeley Seal
Department of Electrical Engineering and Computer Sciences

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Professor Yi Ma  
Electrical Engineering and Computer Sciences
University of California, Berkeley

Office:    EECS Department, 333C Cory Hall # 1770
              University of California, Berkeley, CA 94720-1770, USA.
Email:     yima@eecs.berkeley.edu
Phone:   +1 (510) 664 4565

Other Affiliations
Berkeley Artificial Intelligence Research (BAIR)
Berkeley Center for Augmented Cognition (CRC)
Berkeley FHL Vive Center for Enhanced Reality
Teaching Research Publications Presentations Students Services Biography Honors CV.pdf
Spring 2022 Courses: Recent Releases: New and Recent Events:
  • Keynote Speech at the International School on Deep Learning (DeepLearn 2022), United Kingdom, January 2023.
  • Plenary Talk at the Chinese SIAM Conference on Big Data and AI (CSIAM-BDAI), China, TBD, 2022.
  • Distinguished Lecture at CS Department, UIUC, December 14, 2022.
  • Distinguished Seminar at ECE Department Seminar, UC Davis, October 7th, 2022.
  • Keynote Speech at the 4th International Conference on Robotics and Computer Vision (ICRCV), Wuhan, China, September 25-27, 2022.
  • Talk and Round Table on Fundamentals of Intelligence, Beijing Academy of Artificial Intelligence, September 21, 2022.
  • Talk at Microsoft Research Alumni Saloon, September 16, 2022.
  • Keynote Speech at IEEE Fellow Forum of the Global AI Product & Application Expo, Shuzhou, China, September 15, 2022.
  • Keynote Speech at the Forum of Cognitive Intelligence, World Artificial Intelligence Conference, Shanghai, China, September 2, 2022.
  • AI Panel at the WLSI Annual Meeting, Stanford, August 23, 2022.
  • Keynote Talk at the annual research symposium of Chandar Lab, MILA, Canada, August 12, 2022.
  • Invited talk at Bytedance summer camp, August 9, 2022.
  • Distinguished Lecture of the IAS of the Hong Kong University of Science and Technology, August 5, 2022.
  • Keynote Speech at the Hong Kong Tech Forum on Grand Challenges in Data Science and Artificial Intelligence, Hong Kong, July 26-27, 2022.
  • Invited talk at Google Sample-Efficient Learning seminar, July 27, 2022.
  • Invited talk a China Operation Research forum, July 15, 2022.
  • Summer Course at TBSI on Computational Principles for High-Dimensional Data Analysis, June 27 - July 8, 2022.
  • Visit and talk at MBZUAI, Abu Dhabi, June 20-25, 2022.
  • Invited talk at the Challenges and Prospects of ML for the Physical Sciences Workshop in NYC, Flatiron Institute, June 12-15, 2022.
  • Keynote Speech at the 17th biennial Canadian Workshop on Information Theory (CWIT), Ottawa, Canada, June 7, 2022.
  • A Ten-Hour Short Course on Low-Dim Models for High-Dim Data at ICASSP, Singapore, May 22-27, 2022.
  • Plenary Talk at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, May 22-27, 2022.
  • Invited Talk at Baidu Research, April 29, 2022.
  • Invited Talk at Facebook/Meta AI Research (FAIR/MAIR), April 25, 2022.
  • MSRA CVPR panel discussion, April 22, 2022.
  • Invited Talk at University of Washington, Seattle, April 8, 2022.
  • Invited Talk at Washington University at St. Louis, March 23, 2022.
  • Talk at BAIR Visual Computing Workshop, Berkeley, March 21, 2022.
  • Invited Talk, Department of Electrical and Computer Engineering, University of Michigan, March 17, 2022.
  • Invited Talk, joint Semiautonomous Seminar and THEORINET Seminar, EECS Berkeley, March 4, 2022.
  • Distinguished Colloquium, Department of Electrical and Computer Engineering, University of Maryland, Januarary 28, 2022.

  • Recorded video on Closed-Loop Data Transcription via Minimaxing Rate Reduction (with Paper and Slides), Berkeley Neuroscience Redwood Center, December 2, 2021.
  • Recorded video on ReduNet: Deep (Convolution) Networks from First Principles (with Paper ), at CMSA of Harvard University, April 16, 2021.
  • Recorded video on Learning to Detect Geometric Structures from Images, CVPR 3D Scene Understanding Workshop, June 19, 2021.
  • Recorded video of An Overview of Reinforcement Learning and Optimal Control (with Slides), February 17, 2021.

  • Berkeley Assured Autonomy Seminar (TBD, Spring 2022).
  • Berkeley Learning Theory Study Group (TBD, Spring 2022).

Project Websites:


©2017 Yi Ma
Last modified: Wed Sep 14 20:38:17 PDT 2022