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Rui Gao 0001
Person information
- affiliation: University of Texas at Austin, McCombs School of Business, Austin, TX, USA
Other persons with the same name
- Rui Gao — disambiguation page
- Rui Gao 0002
— Northeast Agricultural University, Institutions of Electrical and Information, Harbin, China
- Rui Gao 0003 — China Electronic Product Reliability and Environmental Testing Research Institute (CEPREI)
- Rui Gao 0004
— Wuhan University, School of Computer Science, Wuhan, China
- Rui Gao 0005 — Xidian University, Key Laboratory of Integrated Service Networks, Xi'an, China
- Rui Gao 0006
— Shandong University, School of Control Science and Engineering, Jinan, China
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2020 – today
- 2024
- [j6]Jie Wang
, Rui Gao
, Hongyuan Zha:
Reliable Off-Policy Evaluation for Reinforcement Learning. Oper. Res. 72(2): 699-716 (2024) - [j5]Rui Gao
, Xi Chen
, Anton J. Kleywegt
:
Wasserstein Distributionally Robust Optimization and Variation Regularization. Oper. Res. 72(3): 1177-1191 (2024) - [j4]Luhao Zhang
, Jincheng Yang
, Rui Gao
:
Optimal Robust Policy for Feature-Based Newsvendor. Manag. Sci. 70(4): 2315-2329 (2024) - [c9]Jie Wang
, Rui Gao, Yao Xie:
Non-Convex Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. ISIT 2024: 843-848 - [i13]Jie Wang, Rui Gao, Yao Xie:
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets. CoRR abs/2403.14822 (2024) - [i12]Rui Gao, Rohit Arora, Yizhe Huang:
Data-driven Multistage Distributionally Robust Linear Optimization with Nested Distance. CoRR abs/2407.16346 (2024) - 2023
- [j3]Rui Gao
:
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality. Oper. Res. 71(6): 2291-2306 (2023) - [j2]Hao Wang, Rui Gao, Flávio P. Calmon:
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. 24: 26:1-26:43 (2023) - [j1]Rui Gao
, Anton J. Kleywegt
:
Distributionally Robust Stochastic Optimization with Wasserstein Distance. Math. Oper. Res. 48(2): 603-655 (2023) - [c8]Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. NeurIPS 2023 - [i11]Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination in Classification. CoRR abs/2301.11781 (2023) - 2022
- [c7]Jie Wang, Rui Gao, Yao Xie:
Two-Sample Test with Kernel Projected Wasserstein Distance. AISTATS 2022: 8022-8055 - [c6]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally robust weighted k-nearest neighbors. NeurIPS 2022 - [i10]Luhao Zhang, Jincheng Yang, Rui Gao:
A Simple Duality Proof for Wasserstein Distributionally Robust Optimization. CoRR abs/2205.00362 (2022) - 2021
- [c5]Jie Wang
, Rui Gao, Yao Xie:
Two-sample Test using Projected Wasserstein Distance. ISIT 2021: 3320-3325 - [c4]Yang An, Rui Gao:
Generalization Bounds for (Wasserstein) Robust Optimization. NeurIPS 2021: 10382-10392 - [c3]Qitian Wu, Rui Gao, Hongyuan Zha:
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. NeurIPS 2021: 11274-11286 - [c2]Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS 2021: 24222-24234 - [i9]Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR abs/2102.02976 (2021) - [i8]Jie Wang, Rui Gao, Yao Xie:
Sinkhorn Distributionally Robust Optimization. CoRR abs/2109.11926 (2021) - 2020
- [i7]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR abs/2006.04004 (2020) - [i6]Rui Gao:
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality. CoRR abs/2009.04382 (2020) - [i5]Jie Wang, Rui Gao, Yao Xie:
Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality. CoRR abs/2010.11970 (2020) - [i4]Jie Wang, Rui Gao, Hongyuan Zha:
Reliable Off-policy Evaluation for Reinforcement Learning. CoRR abs/2011.04102 (2020)
2010 – 2019
- 2019
- [i3]Qitian Wu, Rui Gao, Hongyuan Zha:
Stein Bridging: Enabling Mutual Reinforcement between Explicit and Implicit Generative Models. CoRR abs/1909.13035 (2019) - 2018
- [c1]Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. NeurIPS 2018: 7913-7923 - [i2]Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. CoRR abs/1805.10611 (2018) - 2017
- [i1]Rui Gao, Xi Chen, Anton J. Kleywegt:
Wasserstein Distributional Robustness and Regularization in Statistical Learning. CoRR abs/1712.06050 (2017)
Coauthor Index

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