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2020 – today
- 2024
[c6]Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong:
EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. ICML 2024- [i3]Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong:
EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. CoRR abs/2404.10575 (2024) - [i2]Chung-Yiu Yau, Haoming Liu, Hoi-To Wai:
Fully Stochastic Primal-dual Gradient Algorithm for Non-convex Optimization on Random Graphs. CoRR abs/2410.18774 (2024) - 2023
- [j1]Chung-Yiu Yau, Hoi-To Wai:
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Chung-Yiu Yau, Hoi-To Wai:
Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression. CDC 2023: 145-150 - [c4]Xiaolu Wang, Chung-Yiu Yau, Hoi-To Wai:
Network Effects in Performative Prediction Games. ICML 2023: 36514-36540 - 2022
- [c3]Qiang Li, Chung-Yiu Yau, Hoi-To Wai:
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents. NeurIPS 2022 - [c2]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 - [i1]Chung-Yiu Yau, Hoi-To Wai:
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. CoRR abs/2202.00255 (2022) - 2021
- [c1]Chung-Yiu Yau, Haoli Bai, Irwin King
, Michael R. Lyu:
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) 2021: 367-378
Coauthor Index
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