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2020 – today
- 2023
[c14]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: 20485-20528- 2022
- [c13]Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou:
Distributionally Robust Q-Learning. ICML 2022: 13623-13643 - [c12]Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou:
Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS 2022 - [i11]Qinxun Bai, Steven Rosenberg, Wei Xu:
Understanding Natural Gradient in Sobolev Spaces. CoRR abs/2202.06232 (2022) - [i10]Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang:
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. CoRR abs/2211.15956 (2022) - 2021
- [c11]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: 3331-3339 - [c10]Qi Feng
, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff:
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. CVPR 2021: 5851-5860 - [c9]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. ICML 2021: 8869-8879 - [i9]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. CoRR abs/2103.01291 (2021) - [i8]Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai:
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction. CoRR abs/2110.12081 (2021) - 2020
- [c8]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. ICML 2020: 7985-7995 - [c7]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff:
Real-time Visual Object Tracking with Natural Language Description. WACV 2020: 689-698
2010 – 2019
- 2019
- [c6]Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
A Topological Regularizer for Classifiers via Persistent Homology. AISTATS 2019: 2573-2582 - [c5]Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. ICCV 2019: 1406-1415 - [i7]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff:
Tell Me What to Track. CoRR abs/1907.11751 (2019) - [i6]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. CoRR abs/1911.08017 (2019) - [i5]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff:
Robust Visual Object Tracking with Natural Language Region Proposal Network. CoRR abs/1912.02048 (2019) - 2018
- [i4]Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
TopoReg: A Topological Regularizer for Classifiers. CoRR abs/1806.10714 (2018) - [i3]Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. CoRR abs/1812.01754 (2018) - 2017
- [b1]Qinxun Bai:
The differential geometric structure in supervised learning of classifiers. Boston University, USA, 2017 - 2016
- [c4]Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff:
Differential Geometric Regularization for Supervised Learning of Classifiers. ICML 2016: 1879-1888 - 2015
- [i2]Qinxun Bai, Steven Rosenberg, Stan Sclaroff:
A Differential Geometric Approach to Classification. CoRR abs/1503.01436 (2015) - [i1]Qinxun Bai, Henry Lam, Stan Sclaroff:
A Bayesian Approach for Online Classifier Ensemble. CoRR abs/1507.02011 (2015) - 2014
- [c3]Qinxun Bai, Henry Lam, Stan Sclaroff:
A Bayesian Framework for Online Classifier Ensemble. ICML 2014: 1584-1592 - 2013
- [c2]Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier:
Randomized Ensemble Tracking. ICCV 2013: 2040-2047 - 2010
- [c1]Qinxun Bai, Yihong Wu, Lixin Fan:
PCA-based structure refinement for reconstruction of urban scene. ICIP 2010: 2953-2956
Coauthor Index
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