Gao, Rui

14 publications

ICML 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization Zhangyi Liu, Feng Liu, Rui Gao, Shuang Li

NeurIPS 2025 DeepHalo: A Neural Choice Model with Controllable Context Effects Shuhan Zhang, Zhi Wang, Rui Gao, Shuang Li

ICML 2025 Model Uncertainty Quantification by Conformal Prediction in Continual Learning Rui Gao, Weiwei Liu

ICML 2024 SFC: Achieve Accurate Fast Convolution Under Low-Precision Arithmetic Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du

NeurIPS 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang, Luxi He, Rui Gao, Flavio Calmon

ICML 2023 DDGR: Continual Learning with Deep Diffusion-Based Generative Replay Rui Gao, Weiwei Liu

JMLR 2023 Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels Hao Wang, Rui Gao, Flavio P. Calmon

AISTATS 2022 Two-Sample Test with Kernel Projected Wasserstein Distance Jie Wang, Rui Gao, Yao Xie

NeurIPS 2022 Distributionally Robust Weighted K-Nearest Neighbors Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie

NeurIPS 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels Hao Wang, Yizhe Huang, Rui Gao, Flavio Calmon

NeurIPS 2021 Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators Qitian Wu, Rui Gao, Hongyuan Zha

NeurIPS 2021 Generalization Bounds for (Wasserstein) Robust Optimization Yang An, Rui Gao

ECCVW 2018 A Joint Generative Model for Zero-Shot Learning Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang

NeurIPS 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets Rui Gao, Liyan Xie, Yao Xie, Huan Xu