Direct Ph.D. student
Computer Science (Informatik)

	ETH Zürich OAT, Andreasstrasse 5 8092 Zürich
	chungentsai1007 [at] gmail [dot] com

I am a second-year direct PhD student in Computer Science at ETH Zürich. I am fortunate to be advised by Prof. Niao He and to be a member of the Optimization and Decision Intelligence Group, which is part of the Institute for Machine Learning. Previously, I received my bachelor's degree in Computer Science and Information Engineering at National Taiwan University, where I was advised by Prof. Yen-Huan Li.

Research

I work in optimization and machine learning theory. I have served as a reviewer for NeurIPS 2024/2025, ICML 2025, and ICLR 2025. I am currently interested in the following topics and would be happy to chat!

• Online portfolio selection and probability forecasting; see, e.g., my blog post and its application to constructing confidence intervals.
• Stepsize schedules of optimization algorithms; see, e.g., the silver stepsize schedule.
• Bandit convex optimization; see, e.g., this book.

Selected Publications

Please check my Google scholar profile for the full list.

• [ALT 2023] Online self-concordant and relatively smooth minimization, with applications to online portfolio selection and learning quantum states
  Chung-En Tsai, Hao-Chung Cheng, and Yen-Huan Li
  
  
• [NeurIPS 2023] Data-dependent bounds for online portfolio selection without Lipschitzness and smoothness
  Chung-En Tsai, Ying-Ting Lin, and Yen-Huan Li
  
  
• [AISTATS 2024] Fast minimization of expected logarithmic loss via stochastic dual averaging
  Chung-En Tsai, Hao-Chung Cheng, and Yen-Huan Li
  

Education

• Direct Ph.D. in Computer Science, 2024-Present
  Eidgenössische Technische Hochschule Zürich (ETH Zürich)
• B.Sc. in Computer Science and Information Engineering, 2019-2023
  National Taiwan University