Qinxun Bai
15 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(79)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Optimization & Theory
(8)
Reinforcement Learning
(6)
Methods
(6)
Bayesian & Probabilistic
(5)
Core Methods
(5)
Learning Types
(5)
Core AI
(4)
Deep Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Keywords
posterior distribution
(3)
visual tracking
(3)
bayesian inference
(3)
multimodal learning
(2)
ensemble learning
(2)
supervised learning
(2)
concurrent learning
(2)
robust policy
(2)
distributionally robust optimization
(2)
offline reinforcement learning
(2)
regret bound
(2)
classifier ensemble
(2)
manifold learning
(1)
visual object tracking
(1)
feature distribution
(1)
online learning
(1)
stochastic gradient descent
(1)
reproducing kernel hilbert space
(1)
uncertainty quantification
(1)
probability estimation
(1)
Papers
Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
ICML 2025
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
NeurIPS 2024
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
ICML 2023
Distributionally Robust Q-Learning
ICML 2022
Society of Agents: Regret Bounds of Concurrent Thompson Sampling
NeurIPS 2022
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
AISTATS 2021
Generative Particle Variational Inference via Estimation of Functional Gradients
ICML 2021
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers
CVPR 2021
Implicit Generative Modeling for Efficient Exploration
ICML 2020
Real-time Visual Object Tracking with Natural Language Description
WACV 2020
A Topological Regularizer for Classifiers via Persistent Homology
AISTATS 2019
Moment Matching for Multi-Source Domain Adaptation
ICCV 2019
Differential Geometric Regularization for Supervised Learning of Classifiers
ICML 2016
A Bayesian Framework for Online Classifier Ensemble
ICML 2014
Randomized Ensemble Tracking
ICCV 2013