Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Y Hu, S Zhang, X Chen, N He Advances in Neural Information Processing Systems 33, 2020 | 61* | 2020 |
Sample complexity of sample average approximation for conditional stochastic optimization Y Hu, X Chen, N He SIAM Journal on Optimization 30 (3), 2103-2133, 2020 | 21 | 2020 |
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization Y Hu, X Chen, N He Advances in Neural Information Processing Systems 34, 2021 | 17 | 2021 |
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces SS Ramesh, PG Sessa, Y Hu, A Krause, I Bogunovic arXiv preprint arXiv:2309.02236, 2023 | 2 | 2023 |
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization S Zhang, Y Hu, L Zhang, N He arXiv preprint arXiv:2205.14278, 2022 | 1* | 2022 |
Efficient Algorithms for Minimizing Compositions of Convex Functions and Random Functions and Its Applications in Network Revenue Management X Chen, N He, Y Hu, Z Ye arXiv preprint arXiv:2205.01774, 2022 | 1 | 2022 |
Contextual Stochastic Bilevel Optimization Y Hu, J Wang, Y Xie, A Krause, D Kuhn arXiv preprint arXiv:2310.18535, 2023 | | 2023 |