Qinxun Bai - RankMe

36 papers A* 12A 3B 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration. CoRR Yan Chen, Qinxun Bai, Yiteng Zhang, Shi Dong, Maria Dimakopoulou, Qi Sun, Zhengyuan Zhou
2025	A*	`conf`	Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration. ICML Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou
2025	J	`jnl`	Functional Critic Modeling for Provably Convergent Off-Policy Actor-Critic. CoRR Qinxun Bai, Yuxuan Han, Wei Xu, Zhengyuan Zhou
2025	J	`jnl`	Generalized Tangent Kernel: A Unified Geometric Foundation for Natural Gradient and Standard Gradient. Trans. Mach. Learn. Res. Qinxun Bai, Steven Rosenberg, Wei Xu
2025	J	`jnl`	Learning Multi-Stage Pick-and-Place With a Legged Mobile Manipulator. IEEE Robotics Autom. Lett. Haichao Zhang, Haonan Yu, Le Zhao, Andrew Choi, Qinxun Bai, Yiqing Yang, Wei Xu
2025	J	`jnl`	Learning Multi-Stage Pick-and-Place with a Legged Mobile Manipulator. CoRR Haichao Zhang, Haonan Yu, Le Zhao, Andrew Choi, Qinxun Bai, Yiqing Yang, Wei Xu
2025	J	`jnl`	SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning. CoRR Haichao Zhang, Haonan Yu, Le Zhao, Andrew Choi, Qinxun Bai, Break Yang, Wei Xu
2024	A*	`conf`	Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA. NeurIPS David Smerkous, Qinxun Bai, Fuxin Li
2024	J	`jnl`	Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA. CoRR David Smerkous, Qinxun Bai, Fuxin Li
2024	J	`jnl`	Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations. CoRR Henry Gasztowtt, Benjamin Smith, Vincent Zhu, Qinxun Bai, Edwin Zhang
2023	A*	`conf`	Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. ICML Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
2022	A*	`conf`	Distributionally Robust Q-Learning. ICML Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou
2022	J	`jnl`	Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. CoRR Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
2022	A*	`conf`	Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
2022	J	`jnl`	Understanding Natural Gradient in Sobolev Spaces. CoRR Qinxun Bai, Steven Rosenberg, Wei Xu
2021	A	`conf`	Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. AISTATS Zhengqing Zhou, Qinxun Bai, Zhengyuan Zhou, Linhai Qiu, Jose H. Blanchet, Peter W. Glynn
2021	A*	`conf`	Generative Particle Variational Inference via Estimation of Functional Gradients. ICML Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
2021	J	`jnl`	Generative Particle Variational Inference via Estimation of Functional Gradients. CoRR Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
2021	J	`jnl`	Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction. CoRR Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai
2021	A*	`conf`	Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. CVPR Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
2020	A*	`conf`	Implicit Generative Modeling for Efficient Exploration. ICML Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
2020	A	`conf`	Real-time Visual Object Tracking with Natural Language Description. WACV Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
2019	A	`conf`	A Topological Regularizer for Classifiers via Persistent Homology. AISTATS Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
2019	J	`jnl`	Implicit Generative Modeling for Efficient Exploration. CoRR Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
2019	A*	`conf`	Moment Matching for Multi-Source Domain Adaptation. ICCV Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
2019	J	`jnl`	Robust Visual Object Tracking with Natural Language Region Proposal Network. CoRR Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
2019	J	`jnl`	Tell Me What to Track. CoRR Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
2018	J	`jnl`	Moment Matching for Multi-Source Domain Adaptation. CoRR Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
2018	J	`jnl`	TopoReg: A Topological Regularizer for Classifiers. CoRR Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
2017	—	`—`	The differential geometric structure in supervised learning of classifiers Qinxun Bai
2016	A*	`conf`	Differential Geometric Regularization for Supervised Learning of Classifiers. ICML Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff
2015	J	`jnl`	A Bayesian Approach for Online Classifier Ensemble. CoRR Qinxun Bai, Henry Lam, Stan Sclaroff
2015	J	`jnl`	A Differential Geometric Approach to Classification. CoRR Qinxun Bai, Steven Rosenberg, Stan Sclaroff
2014	A*	`conf`	A Bayesian Framework for Online Classifier Ensemble. ICML Qinxun Bai, Henry Lam, Stan Sclaroff
2013	A*	`conf`	Randomized Ensemble Tracking. ICCV Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier
2010	B	`conf`	PCA-based structure refinement for reconstruction of urban scene. ICIP Qinxun Bai, Yihong Wu, Lixin Fan