Qinxun Bai

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 20

Top Topics

Differential Geometric

Natural Language

Top Venues

Publications

Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. ICML (2023)
Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS (2022)
Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. CoRR (2022)
Qinxun Bai, Steven Rosenberg, Wei Xu
Understanding Natural Gradient in Sobolev Spaces. CoRR (2022)
Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou
Distributionally Robust Q-Learning. ICML (2022)
Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction. CoRR (2021)
Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
Generative Particle Variational Inference via Estimation of Functional Gradients. ICML (2021)
Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
Generative Particle Variational Inference via Estimation of Functional Gradients. CoRR (2021)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. CVPR (2021)
Zhengqing Zhou, Qinxun Bai, Zhengyuan Zhou, Linhai Qiu, Jose H. Blanchet, Peter W. Glynn
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. AISTATS (2021)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
Real-time Visual Object Tracking with Natural Language Description. WACV (2020)
Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
Implicit Generative Modeling for Efficient Exploration. ICML (2020)
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
A Topological Regularizer for Classifiers via Persistent Homology. AISTATS (2019)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
Tell Me What to Track. CoRR (2019)
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
Moment Matching for Multi-Source Domain Adaptation. ICCV (2019)
Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
Implicit Generative Modeling for Efficient Exploration. CoRR (2019)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
Robust Visual Object Tracking with Natural Language Region Proposal Network. CoRR (2019)
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
TopoReg: A Topological Regularizer for Classifiers. CoRR (2018)
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
Moment Matching for Multi-Source Domain Adaptation. CoRR (2018)
Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff
Differential Geometric Regularization for Supervised Learning of Classifiers. ICML (2016)
Qinxun Bai, Steven Rosenberg, Stan Sclaroff
A Differential Geometric Approach to Classification. CoRR (2015)
Qinxun Bai, Henry Lam, Stan Sclaroff
A Bayesian Approach for Online Classifier Ensemble. CoRR (2015)
Qinxun Bai, Henry Lam, Stan Sclaroff
A Bayesian Framework for Online Classifier Ensemble. ICML (2014)
Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier
Randomized Ensemble Tracking. ICCV (2013)
Qinxun Bai, Yihong Wu, Lixin Fan
PCA-based structure refinement for reconstruction of urban scene. ICIP (2010)