Bai, Qinxun

17 publications

ICML 2025 Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou

TMLR 2025 Generalized Tangent Kernel: A Unified Geometric Foundation for Natural Gradient and Standard Gradient Qinxun Bai, Steven Rosenberg, Wei Xu

NeurIPS 2024 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous, Qinxun Bai, Li Fuxin

ICML 2023 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang

ICML 2022 Distributionally Robust $q$-Learning Zijian Liu, Qinxun Bai, Jose Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou

NeurIPSW 2022 Off-Policy Reinforcement Learning with Optimistic Exploration and Distribution Correction Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai

NeurIPSW 2022 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang

NeurIPS 2022 Society of Agents: Regret Bounds of Concurrent Thompson Sampling Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou

AISTATS 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning Zhengqing Zhou, Zhengyuan Zhou, Qinxun Bai, Linhai Qiu, Jose Blanchet, Peter Glynn

ICML 2021 Generative Particle Variational Inference via Estimation of Functional Gradients Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu

CVPR 2021 Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff

ICML 2020 Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu

WACV 2020 Real-Time Visual Object Tracking with Natural Language Description Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff

AISTATS 2019 A Topological Regularizer for Classifiers via Persistent Homology Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

ICML 2016 Differential Geometric Regularization for Supervised Learning of Classifiers Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff

ICML 2014 A Bayesian Framework for Online Classifier Ensemble Qinxun Bai, Henry Lam, Stan Sclaroff

ICCV 2013 Randomized Ensemble Tracking Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier