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Invited Talks
New Discoveries of Old Wisdoms for Faster Optimization
Sample Efficient Reinforcement Learning with REINFORCE
Google DeepMind, Virtual, November 20, 2020.
INFORMS Annual Meeting, Virtual, November 9, 2020. [Slides (15min)]
SystemX November Conference, Virtual, November 4, 2020. [Poster]
Second Youth Forum of Institute for Artificial Intelligence at Peking University, Virtual, October 24, 2020.
Learning Mean-Field Games
Xpo Research Symposium, NeurIPS 2019 Highlights, Stanford University, CA, May 28, 2020.
ByteDance AI Lab, Beijing, June 13, 2019. [Slides (50min)]
Connecting Quasi-Newton with Extrapolation: Black-box, Memory Efficient and Line-search Free Acceleration via Stabilized Anderson Mixing
Linear Algebra and Optimization Seminar, Stanford University, CA, November 7, 2019. [Slides (50min)]
From Extrapolation to Quasi-Newton: Stabilizing Type-I Anderson Mixing for Memory-Efficient, Line-Search Free and Black-Box Acceleration
Operations Research Seminar, BICMR, Beijing, June 14, 2019. [Slides (60min)]
ICME Departmental Seminar, Stanford University, January 28, 2019.
INFORMS Annual Meeting, Phoenix, AZ, November 7, 2018.
a2dr: Open-sourced Python Solver for Prox-Affine Distributed Convex Optimization
Seminars in Applied Mathematics, Yau Mathematical Sciences Center, Tsinghua University, Virtual, August 19, 2021.
SIAM Conference on Computational Science and Engineering (CSE), Virtual, March 4, 2021.
Youth Forum of Big Data Analysis and Application Technology at PKU, Virtual, December 12, 2020.
ICME First Year Seminar, Stanford University, CA, April 21, 2020 (Postponed).
AMS Fall Southeastern Sectional Meeting, University of Florida, FL, November 2, 2019. [Slides (25min)]
INFORMS Annual Meeting, Seattle, WA, October 20, 2019.
Robust Bayesian Level Set Estimation via Gaussian Processes
INFORMS Annual Meeting, Phoenix, AZ, November 6, 2018. [Slides (25min)]
Operations Research Seminar, BICMR, Beijing, December 20, 2017.
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