Rui Gao - RankMe

30 papers A* 7A 1B 2Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization. Oper. Res. Luhao Zhang, Jincheng Yang, Rui Gao
2025	A*	`conf`	Reproducing Kernel Hilbert Space Choice Model. EC Yiqi Yang, Zhi Wang, Rui Gao, Shuang Li
2024	J	`jnl`	Data-driven Multistage Distributionally Robust Linear Optimization with Nested Distance. CoRR Rui Gao, Rohit Arora, Yizhe Huang
2024	B	`conf`	Non-Convex Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. ISIT Jie Wang, Rui Gao, Yao Xie
2024	J	`jnl`	Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets. CoRR Jie Wang, Rui Gao, Yao Xie
2024	J	`jnl`	Optimal Robust Policy for Feature-Based Newsvendor. Manag. Sci. Luhao Zhang, Jincheng Yang, Rui Gao
2024	J	`jnl`	Reliable Off-Policy Evaluation for Reinforcement Learning. Oper. Res. Jie Wang, Rui Gao, Hongyuan Zha
2024	J	`jnl`	Wasserstein Distributionally Robust Optimization and Variation Regularization. Oper. Res. Rui Gao, Xi Chen, Anton J. Kleywegt
2023	J	`jnl`	Aleatoric and Epistemic Discrimination in Classification. CoRR Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
2023	A*	`conf`	Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. NeurIPS Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
2023	J	`jnl`	Distributionally Robust Stochastic Optimization with Wasserstein Distance. Math. Oper. Res. Rui Gao, Anton J. Kleywegt
2023	J	`jnl`	Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality. Oper. Res. Rui Gao
2023	J	`jnl`	Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. Hao Wang, Rui Gao, Flávio P. Calmon
2022	J	`jnl`	A Simple Duality Proof for Wasserstein Distributionally Robust Optimization. CoRR Luhao Zhang, Jincheng Yang, Rui Gao
2022	A*	`conf`	Distributionally robust weighted k-nearest neighbors. NeurIPS Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
2022	A	`conf`	Two-Sample Test with Kernel Projected Wasserstein Distance. AISTATS Jie Wang, Rui Gao, Yao Xie
2021	A*	`conf`	Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
2021	A*	`conf`	Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. NeurIPS Qitian Wu, Rui Gao, Hongyuan Zha
2021	A*	`conf`	Generalization Bounds for (Wasserstein) Robust Optimization. NeurIPS Yang An, Rui Gao
2021	J	`jnl`	Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
2021	J	`jnl`	Sinkhorn Distributionally Robust Optimization. CoRR Jie Wang, Rui Gao, Yao Xie
2021	B	`conf`	Two-sample Test using Projected Wasserstein Distance. ISIT Jie Wang, Rui Gao, Yao Xie
2020	J	`jnl`	Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
2020	J	`jnl`	Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality. CoRR Rui Gao
2020	J	`jnl`	Reliable Off-policy Evaluation for Reinforcement Learning. CoRR Jie Wang, Rui Gao, Hongyuan Zha
2020	J	`jnl`	Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality. CoRR Jie Wang, Rui Gao, Yao Xie
2019	J	`jnl`	Stein Bridging: Enabling Mutual Reinforcement between Explicit and Implicit Generative Models. CoRR Qitian Wu, Rui Gao, Hongyuan Zha
2018	A*	`conf`	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. NeurIPS Rui Gao, Liyan Xie, Yao Xie, Huan Xu
2018	J	`jnl`	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. CoRR Rui Gao, Liyan Xie, Yao Xie, Huan Xu
2017	J	`jnl`	Wasserstein Distributional Robustness and Regularization in Statistical Learning. CoRR Rui Gao, Xi Chen, Anton J. Kleywegt