| 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 | 57 | 2021 |
| Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ZH Qiu, Q Hu, Y Zhong, L Zhang, T Yang International Conference on Machine Learning, 2022 | 18 | 2022 |
| Multi-block min-max bilevel optimization with applications in multi-task deep auc maximization Q Hu, Y Zhong, T Yang Advances in Neural Information Processing Systems 35, 29552-29565, 2022 | 16 | 2022 |
| Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ZH Qiu, Q Hu, Z Yuan, D Zhou, L Zhang, T Yang International Conference on Machine Learning, 2023 | 10 | 2023 |
| 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 | 4 | 2023 |
| Non-smooth weakly-convex finite-sum coupled compositional optimization Q Hu, D Zhu, T Yang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| A Stochastic Momentum Method for Min-max Bilevel Optimization Q Hu, B Wang, T Yang | | |
Tianbao YangTexas A&M UniversityDirección de correo verificada de tamu.edu
