Publications
*: equal contribution or alphabetic ordering.
2026
SMART: A Spectral Transfer Approach to Multi-Task Learning
[arXiv] [code]
Boxin Zhao, Mladen Kolar, Jinchi Lv
Preprint, 2026Provable Accelerated Bayesian Optimization with Knowledge Transfer
[arXiv]
Haitao Lin, Boxin Zhao, Mladen Kolar, Chong Liu
International Conference on Artificial Intelligence and Statistics (AISTATS), 2026
2025
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation
[arXiv] [code]
Boxin Zhao, Cong Ma, Mladen Kolar
Journal of the American Statistical Association (JASA), Theory and Methods, 2025Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
[arXiv] [code]
Boxin Zhao, Lingxiao Wang, Mladen Kolar, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen
Journal of Machine Learning Research (JMLR), 2025
2024
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
[arXiv] [code]
Boxin Zhao, Shengjun Zhai, Y. Samuel Wang, Mladen Kolar
Electronic Journal of Statistics (EJS), 2024Latent Multimodal Functional Graphical Model Estimation
[arXiv]
Katherine Tsai, Boxin Zhao, Oluwasanmi Koyejo, Mladen Kolar
Journal of the American Statistical Association (JASA), Theory and Methods, 2024Personalized Binomial DAGs Learning with Network Structured Covariates
[arXiv]
Boxin Zhao, Weishi Wang, Dingyuan Zhu, Ziqi Liu, Dong Wang, Zhiqiang Zhang, Jun Zhou, Mladen Kolar
Preprint, 2024
2023
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
[arXiv] [code]
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
International Conference on Machine Learning (ICML), 2023Differentially Private Matrix Completion through Low-rank Matrix Factorization
Lingxiao Wang, Boxin Zhao, Mladen Kolar
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
[arXiv] [code]
Filip Hanzely*, Boxin Zhao*, Mladen Kolar
Transactions on Machine Learning Research (TMLR), 2023L-SVRG and L-Katyusha with Adaptive Sampling
[arXiv]
Boxin Zhao, Boxiang Lyu, Mladen Kolar
Transactions on Machine Learning Research (TMLR), 2023
2022
- FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
[arXiv] [code]
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Journal of Machine Learning Research (JMLR), 2022
2019
- Direct Estimation of Differential Functional Graphical Models
[arXiv]
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Advances in Neural Information Processing Systems (NeurIPS), 2019