| Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques F Hanzely, B Zhao, M Kolar Transactions on Machine Learning Research, 2835-8856, 2023 | 40 | 2023 |
| Direct estimation of differential functional graphical models B Zhao, YS Wang, M Kolar Advances in neural information processing systems 32, 2019 | 14 | 2019 |
| 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 | 13* | 2022 |
| 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 | 12 | 2024 |
| Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback B Zhao, L Wang, M Kolar, Z Liu, Z Zhang, J Zhou, C Chen arXiv preprint arXiv:2112.14332, 2021 | 5 | 2021 |
| 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 | 4 | 2023 |
| Latent multimodal functional graphical model estimation K Tsai, B Zhao, S Koyejo, M Kolar Journal of the American Statistical Association, 1-13, 2024 | 2 | 2024 |
| L-SVRG and L-Katyusha with Adaptive Sampling B Zhao, B Lyu, M Kolar Transactions on Machine Learning Research, 2835-8856, 2023 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 |
Mladen KolarUniversity of Southern California在 usc.edu 的电子邮件经过验证
