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Boxin Zhao
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Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
F Hanzely, B Zhao, M Kolar
Transactions on Machine Learning Research, 2835-8856, 2023
502023
High-dimensional functional graphical model structure learning via neighborhood selection approach
B Zhao, PS Zhai, YS Wang, M Kolar
Electronic Journal of Statistics 18 (1), 1042 -- 1129, 2024
172024
FuDGE: A method to estimate a functional differential graph in a high-dimensional setting
B Zhao, YS Wang, M Kolar
Journal of Machine Learning Research 23 (82), 1-82, 2022
16*2022
Direct estimation of differential functional graphical models
B Zhao, YS Wang, M Kolar
Advances in neural information processing systems 32, 2019
152019
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
B Zhao, B Lyu, RC Fernandez, M Kolar
International Conference on Machine Learning (ICML) 2023, 2023
92023
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
B Zhao, L Wang, Z Liu, Z Zhang, J Zhou, C Chen, M Kolar
Journal of Machine Learning Research 26 (8), 1--67, 2025
82025
Latent multimodal functional graphical model estimation
K Tsai, B Zhao, S Koyejo, M Kolar
Journal of the American Statistical Association 119 (547), 2217-2229, 2024
42024
Differentially private matrix completion through low-rank matrix factorization
L Wang, B Zhao, M Kolar
International Conference on Artificial Intelligence and Statistics, 5731-5748, 2023
22023
L-SVRG and L-Katyusha with Adaptive Sampling
B Zhao, B Lyu, M Kolar
Transactions on Machine Learning Research, 2835-8856, 2023
22023
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation
B Zhao, C Ma, M Kolar
arXiv preprint arXiv:2411.15624, 2024
2024
Personalized Binomial DAGs Learning with Network Structured Covariates
B Zhao, W Wang, D Zhu, Z Liu, D Wang, Z Zhang, J Zhou, M Kolar
arXiv preprint arXiv:2406.06829, 2024
2024
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Artikelen 1–11