Qinxun Bai

According to our database1, Qinxun Bai authored at least 22 papers between 2010 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators.
Proceedings of the International Conference on Machine Learning, 2023

2022
Understanding Natural Gradient in Sobolev Spaces.
CoRR, 2022

Society of Agents: Regret Bounds of Concurrent Thompson Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Q-Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction.
CoRR, 2021

Generative Particle Variational Inference via Estimation of Functional Gradients.
Proceedings of the 38th International Conference on Machine Learning, 2021

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Real-time Visual Object Tracking with Natural Language Description.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Implicit Generative Modeling for Efficient Exploration.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Robust Visual Object Tracking with Natural Language Region Proposal Network.
CoRR, 2019

Tell Me What to Track.
CoRR, 2019

Moment Matching for Multi-Source Domain Adaptation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Topological Regularizer for Classifiers via Persistent Homology.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
TopoReg: A Topological Regularizer for Classifiers.
CoRR, 2018

2017
The differential geometric structure in supervised learning of classifiers
PhD thesis, 2017

2016
Differential Geometric Regularization for Supervised Learning of Classifiers.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
A Differential Geometric Approach to Classification.
CoRR, 2015

A Bayesian Approach for Online Classifier Ensemble.
CoRR, 2015

2014
A Bayesian Framework for Online Classifier Ensemble.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Randomized Ensemble Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2010
PCA-based structure refinement for reconstruction of urban scene.
Proceedings of the International Conference on Image Processing, 2010


  Loading...