Preprints

*: equal contribution or alphabetic ordering.

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

Published

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
Boxin Zhao, Shengjun Zhai, Y. Samuel Wang, Mladen Kolar
Electronic Journal of Statistics (EJS), 2024

Latent Multimodal Functional Graphical Model Estimation
Katherine Tsai, Boxin Zhao, Oluwasanmi Koyejo, Mladen Kolar
Journal of the American Statistical Association (JASA), Theory and Methods, 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
International Conference on Machine Learning (ICML), 2023

Differentially Private Matrix Completion through Low-rank Matrix Factorization
Lingxiao Wang, Boxin Zhao, Mladen Kolar
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely*, Boxin Zhao*, Mladen Kolar
Transactions on Machine Learning Research (TMLR), 2023

L-SVRG and L-Katyusha with Adaptive Sampling
Boxin Zhao, Boxiang Lyu, Mladen Kolar                                                                                      Transactions on Machine Learning Research (TMLR), 2023

FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Journal of Machine Learning Research (JMLR), 2022

Direct Estimation of Differential Functional Graphical Models
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Advances in Neural Information Processing Systems (NeurIPS), 2019