Tengyu Ma (马腾宇)
Assistant Professor of Computer Science and Statistics
Stanford University
Office: Gates 226
Email: tengyuma@stanford.edu. An FAQ for students who email the first time.
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Papers (by Topic) / Teaching & Service / Awards
About
Hi! I am an assistant professor of computer science and statistics at Stanford. My research interests broadly include topics in machine learning and algorithms, such as deep learning and its theory, (deep) reinforcement learning and its theory, representation learning, robustness, non-convex optimization, distributed optimization, and high-dimensional statistics.
Current Ph.D. students and post-docs
- Colin Wei
- Ananya Kumar (co-advised with Percy Liang)
- Yining Chen
- Honglin Yuan
- Garrett Thomas (co-advised with James Zou)
- Sang Michael Xie (co-advised with Percy Liang)
- Jeff Z. HaoChen
Alumni
- Yuanzhi Li (postdoc, now assistant prof. at CMU)
Publications
Teaching
- Statistical/Machine Learning Theory (CS229T/STATS231, CS229M/STATS214), Autumn 2018, Winter 2021
- Machine Learning (CS229/STATS229), Spring 2019-2020, Autumn 2020
- Introduction to Nonparametric Statistics (STATS205), Autumn 2019, Spring 2021
Service
- Area Chair or PC committee: AAAI 2019-2020, ICLR 2019-2021, NeurIPS 2019-2021, ALT 2017-2018, ITCS 2018, STOC 2020, COLT 2020-2021
Awards
- Sloan Research Fellowships 2021
- ACM Doctoral Dissertation Award Honorable Mention 2018
- COLT Best Paper Award 2018
- NIPS Best Student Paper Award 2016
- Princeton Honorific Fellowship
- 8th Place in William Lowell Putnam Mathematical Competition 2010
- Silver Medal in International Mathematical Olympiad (IMO) 2007
Last update: 2021/02. Template adapted from Danqi Chen's.