| Distributionally robust stochastic optimization with Wasserstein distance R Gao, A Kleywegt Mathematics of Operations Research, 2016 | 1087* | 2016 |
| Wasserstein distributionally robust optimization and variation regularization R Gao, X Chen, AJ Kleywegt Operations Research, 2017 | 342* | 2017 |
| Finite-sample guarantees for Wasserstein distributionally robust optimization: Breaking the curse of dimensionality R Gao Operations Research 71 (6), 2291-2306, 2023 | 161 | 2023 |
| Risk-based distributionally robust optimal gas-power flow with wasserstein distance C Wang, R Gao, W Wei, M Shafie-khah, T Bi, JPS Catalao IEEE Transactions on Power Systems 34 (3), 2190-2204, 2019 | 135 | 2019 |
| Risk-based distributionally robust optimal power flow with dynamic line rating C Wang, R Gao, F Qiu, J Wang, L Xin IEEE Transactions on Power Systems 33 (6), 6074-6086, 2018 | 122 | 2018 |
| Robust hypothesis testing using Wasserstein uncertainty sets R Gao, L Xie, Y Xie, H Xu Advances in Neural Information Processing Systems 31, 2018 | 102* | 2018 |
| Sinkhorn distributionally robust optimization J Wang, R Gao, Y Xie Operations Research, 2025 | 78 | 2025 |
| Distributionally robust stochastic optimization with dependence structure R Gao, AJ Kleywegt arXiv preprint arXiv:1701.04200, 2017 | 62 | 2017 |
| Two-sample Test with Kernel Projected Wasserstein Distance J Wang, R Gao, Y Xie arXiv preprint arXiv:2102.06449, 2021 | 59* | 2021 |
| Optimal robust policy for feature-based newsvendor L Zhang, J Yang, R Gao Management Science, 2023 | 55 | 2023 |
| A short and general duality proof for Wasserstein distributionally robust optimization L Zhang, J Yang, R Gao Operations Research, 2024 | 40 | 2024 |
| Analyzing the generalization capability of sgld using properties of gaussian channels H Wang, Y Huang, R Gao, F Calmon Advances in Neural Information Processing Systems 34, 24222-24234, 2021 | 34 | 2021 |
| Aleatoric and epistemic discrimination: Fundamental limits of fairness interventions H Wang, L He, R Gao, F Calmon Advances in Neural Information Processing Systems 36, 27040-27062, 2023 | 27 | 2023 |
| Generalization bounds for noisy iterative algorithms using properties of additive noise channels H Wang, R Gao, FP Calmon Journal of machine learning research 24 (26), 1-43, 2023 | 26 | 2023 |
| Reliable off-policy evaluation for reinforcement learning J Wang, R Gao, H Zha Operations Research 72 (2), 699-716, 2024 | 24 | 2024 |
| Decision-making with Side Information: A Causal Transport Robust Approach J Yang, L Zhang, N Chen, R Gao, M Hu | 20 | 2022 |
| Data-driven robust optimization with known marginal distributions R Gao, AJ Kleywegt Working paper, 2017 | 20 | 2017 |
| Generalization bounds for (Wasserstein) robust optimization Y An, R Gao Advances in Neural Information Processing Systems 34, 10382-10392, 2021 | 19 | 2021 |
| Contextual decision-making under parametric uncertainty and data-driven optimistic optimization J Cao, R Gao Available at Optimization Online, 2021 | 17 | 2021 |
| Distributionally robust weighted k-nearest neighbors S Zhu, L Xie, M Zhang, R Gao, Y Xie Advances in Neural Information Processing Systems 35, 29088-29100, 2022 | 15 | 2022 |
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
