Qinxun Bai

According to our database, Qinxun Bai authored at least 26 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration.

Yan Chen, Qinxun Bai, Yiteng Zhang, Shi Dong, Maria Dimakopoulou, Qi Sun, Zhengyuan Zhou

CoRR, January, 2025

SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning.

Haichao Zhang, Haonan Yu, Le Zhao, Andrew Choi, Qinxun Bai, Break Yang, Wei Xu

CoRR, January, 2025

2024

Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations.

Henry Gasztowtt, Benjamin Smith, Vincent Zhu, Qinxun Bai, Edwin Zhang

CoRR, 2024

Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA.

David Smerkous, Qinxun Bai, Fuxin Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators.

Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Understanding Natural Gradient in Sobolev Spaces.

Qinxun Bai, Steven Rosenberg, Wei Xu

CoRR, 2022

Society of Agents: Regret Bounds of Concurrent Thompson Sampling.

Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Q-Learning.

Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

2021

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction.

Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai

CoRR, 2021

Generative Particle Variational Inference via Estimation of Functional Gradients.

Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu

Proceedings of the 38th International Conference on Machine Learning, 2021

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers.

Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning.

Zhengqing Zhou, Qinxun Bai, Zhengyuan Zhou, Linhai Qiu, Jose H. Blanchet, Peter W. Glynn

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Real-time Visual Object Tracking with Natural Language Description.

Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Implicit Generative Modeling for Efficient Exploration.

Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Robust Visual Object Tracking with Natural Language Region Proposal Network.

Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff

CoRR, 2019

Tell Me What to Track.

Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff

CoRR, 2019

Moment Matching for Multi-Source Domain Adaptation.

Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Topological Regularizer for Classifiers via Persistent Homology.

Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

TopoReg: A Topological Regularizer for Classifiers.

Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

CoRR, 2018

2017

The differential geometric structure in supervised learning of classifiers

Qinxun Bai

PhD thesis, 2017

2016

Differential Geometric Regularization for Supervised Learning of Classifiers.

Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

A Differential Geometric Approach to Classification.

Qinxun Bai, Steven Rosenberg, Stan Sclaroff

CoRR, 2015

A Bayesian Approach for Online Classifier Ensemble.

Qinxun Bai, Henry Lam, Stan Sclaroff

CoRR, 2015

2014

A Bayesian Framework for Online Classifier Ensemble.

Qinxun Bai, Henry Lam, Stan Sclaroff

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Randomized Ensemble Tracking.

Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier

Proceedings of the IEEE International Conference on Computer Vision, 2013

2010

PCA-based structure refinement for reconstruction of urban scene.

Qinxun Bai, Yihong Wu, Lixin Fan

Proceedings of the International Conference on Image Processing, 2010