| 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 | 94* | 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 | 48 | 2020 |
| On the Bias-Variance-Cost Tradeoff of Stochastic Optimization Y Hu, X Chen, N He Advances in Neural Information Processing Systems 34, 2021 | 42 | 2021 |
| Contextual stochastic bilevel optimization Y Hu, J Wang, Y Xie, A Krause, D Kuhn Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
| Distributionally robust model-based reinforcement learning with large state spaces SS Ramesh, PG Sessa, Y Hu, A Krause, I Bogunovic International Conference on Artificial Intelligence and Statistics, 100-108, 2024 | 12* | 2024 |
| Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management X Chen, N He, Y Hu, Z Ye Operations Research, 2024 | 10* | 2024 |
| Group Robust Preference Optimization in Reward-free RLHF SS Ramesh, Y Hu, I Chaimalas, V Mehta, PG Sessa, HB Ammar, ... arXiv preprint arXiv:2405.20304, 2024 | 8 | 2024 |
| Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization S Zhang*, Y Hu*, L Zhang, N He International Conference on Artificial Intelligence and Statistics, 694-702, 2024 | 7* | 2024 |
| Stochastic Optimization under Hidden Convexity I Fatkhullin, N He, Y Hu arXiv preprint arXiv:2401.00108, 2023 | 7 | 2023 |
| Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles Y Hu, J Wang, X Chen, N He arXiv preprint arXiv:2408.11084, 2024 | 4 | 2024 |
| Contextual Bilevel Reinforcement Learning for Incentive Alignment V Thoma*, B Pásztor*, A Krause, G Ramponi, Y Hu Advances in Neural Information Processing Systems 37, 2024 | 3* | 2024 |
| Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data X Chen*, A Roy*, Y Hu, K Balasubramanian arXiv preprint arXiv:2405.19463, 2024 | 3 | 2024 |
| Landscape of Policy Optimization for Finite Horizon MDPs with General State and Action X Chen, Y Hu, M Zhao arXiv preprint arXiv:2409.17138, 2024 | 1 | 2024 |
| Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Z Wang*, Y Hu*, P Bühlmann, Z Guo arXiv preprint arXiv:2412.11850, 2024 | | 2024 |
| Stochastic Biased Gradient Methods Y Hu Encyclopedia of Optimization, doi.org/10.1007/978-3-030-54621-2_887-1, 2024 | | 2024 |
| Stochastic optimization with biased oracles and hidden convexity Y Hu University of Illinois at Urbana-Champaign, 2022 | | 2022 |
Niao HeAssociate Professor, ETH ZürichCorreu electrònic verificat a inf.ethz.ch
