Yue, Man-Chung

9 publications

ICLR 2026 Exploring Diverse Generation Paths via Inference-Time Stiefel Activation Steering Dongxuan Zhu, Ly Tran Ho Khanh, Andy Yat-Ming Cheung, Man-Chung Yue, Viet Anh Nguyen

TMLR 2025 Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training Hiroki Naganuma, Xinzhi Zhang, Man-Chung Yue, Ioannis Mitliagkas, Russell J. Hewett, Philipp Andre Witte, Yin Tat Lee

NeurIPSW 2024 Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training Hiroki Naganuma, Xinzhi Zhang, Man-Chung Yue, Ioannis Mitliagkas, Russell J. Hewett, Philipp Andre Witte, Yin Tat Lee

NeurIPS 2022 Approximate Secular Equations for the Cubic Regularization Subproblem Yihang Gao, Man-Chung Yue, Michael Ng

ICLR 2022 Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen

UAI 2022 Robust Bayesian Recourse Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen

ICML 2021 Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts Bahar Taskesen, Man-Chung Yue, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen

NeurIPS 2019 Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Huhn, Wolfram Wiesemann

NeurIPS 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Huhn, Wolfram Wiesemann