Zhao, Boxin

7 publications

JMLR 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar

ICML 2023 Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar

AISTATS 2023 Differentially Private Matrix Completion Through Low-Rank Matrix Factorization Lingxiao Wang, Boxin Zhao, Mladen Kolar

TMLR 2023 L-SVRG and L-Katyusha with Adaptive Sampling Boxin Zhao, Boxiang Lyu, Mladen Kolar

TMLR 2023 Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely, Boxin Zhao, Mladen Kolar

JMLR 2022 FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting Boxin Zhao, Y. Samuel Wang, Mladen Kolar

NeurIPS 2019 Direct Estimation of Differential Functional Graphical Models Boxin Zhao, Y. Samuel Wang, Mladen Kolar