| A novel convergence analysis for algorithms of the adam family and beyond Z Guo, Y Xu, W Yin, R Jin, T Yang arXiv preprint arXiv:2104.14840, 2021 | 62* | 2021 |
| Randomized stochastic variance-reduced methods for multi-task stochastic bilevel optimization Z Guo, Q Hu, L Zhang, T Yang arXiv preprint arXiv:2105.02266, 2021 | 38 | 2021 |
| Communication-efficient distributed stochastic auc maximization with deep neural networks Z Guo, M Liu, Z Yuan, L Shen, W Liu, T Yang International conference on machine learning, 3864-3874, 2020 | 28 | 2020 |
| An online method for a class of distributionally robust optimization with non-convex objectives Q Qi*, Z Guo*, Y Xu, R Jin, T Yang Advances in Neural Information Processing Systems 34, 2021 | 23* | 2021 |
| Fast objective and duality gap convergence for non-convex strongly-concave min-max problems Z Guo, Y Yan, Z Yuan, T Yang arXiv preprint arXiv:2006.06889, 2020 | 22 | 2020 |
| A new local density for density peak clustering Z Guo, T Huang, Z Cai, W Zhu Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 21 | 2018 |
| Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity Z Yuan*, Z Guo*, Y Xu, Y Ying, T Yang International Conference on Machine Learning, 2021 | 17 | 2021 |
| Compositional training for end-to-end deep AUC maximization Z Yuan, Z Guo, N Chawla, T Yang International Conference on Learning Representations, 2022 | 11 | 2022 |
| Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives Z Guo, Y Yan, T Yang arXiv preprint arXiv:2003.04339, 2020 | 3 | 2020 |
| Accelerating Deep Learning with Millions of Classes Z Yuan, Z Guo, X Yu, X Wang, T Yang In European Conference on Computer Vision (ECCV), 2020 | 3 | 2020 |
| Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition Z Guo, Y Yan, Z Yuan, T Yang Journal of Machine Learning Research 24, 1-63, 2023 | | 2023 |
| FeDXL: Provable Federated Learning for Deep X-Risk Optimization Z Guo, R Jin, J Luo, T Yang arXiv preprint arXiv:2210.14396, 2022 | | 2022 |
Tianbao YangTexas A&M UniversityVerified email at tamu.edu
