Yau, Chung-Yiu

6 publications

ICML 2025 RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models Quan Wei, Chung-Yiu Yau, Hoi To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong

ICML 2024 EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong

TMLR 2023 DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity Chung-Yiu Yau, Hoi To Wai

ICML 2023 Network Effects in Performative Prediction Games Xiaolu Wang, Chung-Yiu Yau, Hoi To Wai

NeurIPS 2022 Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity Bingqing Song, Ioannis Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong

NeurIPS 2022 Multi-Agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents Qiang Li, Chung-Yiu Yau, Hoi-To Wai