| Revisiting smoothed online learning L Zhang, W Jiang, S Lu, T Yang Advances in Neural Information Processing Systems 34, 13599-13612, 2021 | 27 | 2021 |
| Dual adaptivity: A universal algorithm for minimizing the adaptive regret of convex functions L Zhang, G Wang, WW Tu, W Jiang, ZH Zhou Advances in Neural Information Processing Systems 34, 24968-24980, 2021 | 24 | 2021 |
| Multi-block-single-probe variance reduced estimator for coupled compositional optimization W Jiang, G Li, Y Wang, L Zhang, T Yang Advances in Neural Information Processing Systems 35, 32499-32511, 2022 | 20 | 2022 |
| Optimal algorithms for stochastic multi-level compositional optimization W Jiang, B Wang, Y Wang, L Zhang, T Yang International Conference on Machine Learning, 10195-10216, 2022 | 20 | 2022 |
| Non-stationary projection-free online learning with dynamic and adaptive regret guarantees Y Wang, W Yang, W Jiang, S Lu, B Wang, H Tang, Y Wan, L Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15671 …, 2024 | 11 | 2024 |
| Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor L Zhang, W Jiang, J Yi, T Yang Advances in Neural Information Processing Systems 35, 4928-4942, 2022 | 8 | 2022 |
| Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond D Yu, Y Cai, W Jiang, L Zhang arXiv preprint arXiv:2403.03562, 2024 | 5 | 2024 |
| Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction W Jiang, S Yang, W Yang, L Zhang arXiv preprint arXiv:2406.00489, 2024 | 4 | 2024 |
| Learning unnormalized statistical models via compositional optimization W Jiang, J Qin, L Wu, C Chen, T Yang, L Zhang International Conference on Machine Learning, 15105-15124, 2023 | 4 | 2023 |
| Online composite optimization between stochastic and adversarial environments Y Wang, S Chen, W Jiang, W Yang, Y Wan, L Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 3* | |
| Small-loss Adaptive Regret for Online Convex Optimization W Yang, W Jiang, Y Wang, P Yang, Y Hu, L Zhang Forty-first International Conference on Machine Learning, 0 | 3 | |
| Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization W Jiang, S Yang, W Yang, Y Wang, Y Wan, L Zhang arXiv preprint arXiv:2406.03787, 2024 | 2 | 2024 |
| Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions W Jiang, S Yang, Y Wang, L Zhang arXiv preprint arXiv:2406.01959, 2024 | 1 | 2024 |
Tianbao YangTexas A&M UniversityE-mail megerősítve itt: tamu.edu