I received my B.S.E. degree in Electrical Engineering in 2010, and an M.S. degree in Communication Engineering in 2012, both from National Taiwan University. I was a research assistant at the Research Centerfor Information Technology Innovation, Academia Sinica, from 2013 to 2014. I am broadly interested in any theory regarding data analysis, including statistical learning and convex optimization. I also enjoy browsing several branches of mathematics, including the information theory and concentration of measure phenomenon. In 2015 I started my PhD which I completed in 2020. The thesis, entitled “Convergence without convexity: sampling, optimization, and games” was supervised by Prof. Volkan Cevher.
Publications (most recent)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337-4348.
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics