M.C. YueAssistant Professor
Affiliation with HKU Musketeers Foundation Institute of Data Science (HKU-IDS)
HW 8-4Institute of Data Science (IDS) website:
Dr Man-Chung Yue is an Assistant Professor jointly affiliated with the Musketeers Foundation Institute of Data Science and the Department of Industrial and Manufacturing Systems Engineering at The University of Hong Kong. Prior to joining HKU, he was an Assistant Professor in the Department of Applied Mathematics at The Hong Kong Polytechnic University. From 2017 to 2019, he worked as a Research Associate at Imperial College London. He received his Ph.D. in Systems Engineering and Engineering Management in 2017 and B.Sc. in Mathematics in 2012, both from The Chinese University of Hong Kong.
Personal website: https://manchungyue.com/
- Data Science
- Machine Learning
- Operations Research
- Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. “On Linear Optimization over Wasserstein Balls”. To appear in Mathematical Programming, 2021.
- Yin Tat Lee, Man-Chung Yue. “Universal Barrier is n-Self-Concordant”. Mathematics of Operations Research (2021) 46(3):1129-1148.
- Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So. “On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition”. SIAM Journal on Optimization (2019) 29(1):904-932.
- Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So. “A Family of Inexact SQA Methods for Non-Smooth Convex Minimization with Provable Convergence Guarantees Based on the Luo-Tseng Error Bound Property”. Mathematical Programming (2019) 174(1-2):327-358.
- Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. “On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization”. SIAM Journal on Optimization (2017) 27(4):2426-2446.
- Bahar Taskesen, Man-Chung Yue, José Blanchet, Daniel Kuhn, Viet Anh Nguyen. “Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts”. Proceedings of the 38th International Conference on Machine Learning (ICML 2021), pp. 10162-10172, 2021.
- Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. “Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation”. Proceedings of Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pp. 15872-15882, 2019.
- Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. “Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization”. Proceedings of Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pp. 13942-13953, 2019.