Chung-Yiu Yau

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Pac Learnability

Network Effects

Number Of Irrelevant Features

Convex Formulation

Top Venues

Publications

Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. CoRR (2024)
Chung-Yiu Yau, Hoi-To Wai
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity. Trans. Mach. Learn. Res. 2023 (2023)
Xiaolu Wang, Chung-Yiu Yau, Hoi-To Wai
Network Effects in Performative Prediction Games. ICML (2023)
Chung-Yiu Yau, Hoi-To Wai
Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression. CDC (2023)
Qiang Li, Chung-Yiu Yau, Hoi-To Wai
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents. NeurIPS (2022)
Bingqing Song, Ioannis C. Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity. NeurIPS (2022)
Chung-Yiu Yau, Hoi-To Wai
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. CoRR (2022)
Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) (2021)