Publications
*stands for equal contribution.
Manuscipts and Preprints
Faster Rates for Compressed Federated Learning with Client-Variance Reduction
Haoyu Zhao, Konstantin Burlachenko, Zhize Li, Peter RichtárikFedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning
Haoyu Zhao, Zhize Li, Peter RichtárikMildly Overparametrized Neural Nets can Memorize Training Data Efficiently
Rong Ge, Runzhe Wang, Haoyu Zhao (alpha-beta)Conference and Journal Papers
Combinatorial Semi-Bandit in the Non-Stationary Environment
Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng (alpha-beta) The Conference on Uncertainty in Artificial Intelligence ( UAI 2021 )
Combinatorial Pure Exploration of Dueling Bandit
Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao (alpha-beta) International Conference on Machine Learning ( ICML 2020 )
Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
Haoyu Zhao, Wei Chen AAAI Conference on Artificial Intelligence ( AAAI 2020 )
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
Wei Chen, Weizhong Zhang, Haoyu Zhao (alpha-beta) AAAI Conference on Artificial Intelligence ( AAAI 2020 )
Stochastic One-Sided Full-Information Bandit
Haoyu Zhao, Wei Chen The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ( ECML/PKDD 2019 )
An FPTAS for Stochastic Unbounded Min-Knapsack Problem
Zhihao Jiang, Haoyu Zhao (alpha-beta) International Frontiers of Algorithmics Workshop ( FAW 2019 )