Xuefeng GAO
9 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot ยท Silver
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
๐บ๏ธ
Taxonomy Completionist
(23)
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Deep Learning
(3)
Learning Types
(3)
Models
(3)
Artificial Intelligence
(2)
Reinforcement Learning
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Methods
(2)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
online learning
(2)
regret bound
(2)
score-based generative model
(2)
multi-armed bandit
(2)
markov chain monte carlo
(2)
wasserstein distance
(2)
upper confidence bound
(2)
diffusion model
(2)
image generation
(1)
off-policy evaluation
(1)
langevin dynamics
(1)
markov decision process
(1)
importance sampling
(1)
value iteration
(1)
convergence analysis
(1)
bayesian inference
(1)
stochastic gradient descent
(1)
linear quadratic regulator
(1)
hamiltonian monte carlo
(1)
reward function
(1)
Papers
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
AISTATS 2025
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
ICLR 2025
Reward-Directed Score-Based Diffusion Models via q-Learning
JMLR 2025
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models
JMLR 2025
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents
ICML 2023
Debiasing Samples from Online Learning Using Bootstrap
AISTATS 2022
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Regime Switching Bandits
NeurIPS 2021
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
NeurIPS 2020