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 | 99* | 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 | 60 | 2021 |
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 | 45* | 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 | 41 | 2020 |
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 | 32 | 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 | 30 | 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 | 26 | 2018 |
Compositional training for end-to-end deep AUC maximization Z Yuan, Z Guo, N Chawla, T Yang International Conference on Learning Representations, 2021 | 24 | 2021 |
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives Z Guo, Y Yan, T Yang arXiv preprint arXiv:2003.04339, 2020 | 5 | 2020 |
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization Q Hu, ZH Qiu, Z Guo, L Zhang, T Yang International Conference on Machine Learning, 2023, 2023 | 4 | 2023 |
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 (148), 1-63, 2023 | 3 | 2023 |
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Z Guo, R Jin, J Luo, T Yang International Conference on Machine Learning, 2023, 2023 | 3 | 2023 |
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 |