Xuefeng GAO
9 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (5) π£ Hot Topic Early Bird π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(24)
Conferences
JMLR (3)
AISTATS (2)
NIPS (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
multi-armed bandit
(2)
upper confidence bound
(2)
markov chain monte carlo
(2)
langevin dynamics
(1)
off-policy evaluation
(1)
image generation
(1)
stochastic gradient descent
(1)
non-convex optimization
(1)
bayesian inference
(1)
reward function
(1)
markov decision process
(1)
importance sampling
(1)
value iteration
(1)
bias correction
(1)
markov chain
(1)
online learning
(1)
hamiltonian monte carlo
(1)
generative model
(1)
reinforcement learning
(1)
stochastic gradient
(1)
Papers
Reward-Directed Score-Based Diffusion Models via q-Learning
JMLR 2025
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
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
Regime Switching Bandits
NIPS 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
NIPS 2020