Xuefeng Gao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 33

Top Topics

Markov Decision Process

Reinforcement Learning

Stochastic Gradient

Top Venues

Queueing Syst. Theory Appl.

Publications

Ningyuan Chen, Xuefeng Gao, Yi Xiong
No Algorithmic Collusion in Two-Player Blindfolded Game with Thompson Sampling. CoRR (2024)
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
Reinforcement Learning for Jump-Diffusions. CoRR (2024)
Huiling Meng, Ningyuan Chen, Xuefeng Gao
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management. CoRR (2024)
Wenhao Xu, Xuefeng Gao, Xuedong He
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator. CoRR (2024)
Xuefeng Gao, Lingjiong Zhu
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances. CoRR (2024)
Xuefeng Gao, Junfei Huang
Asymptotically Optimal Control of Make-to-Stock Systems. Math. Oper. Res. 49 (2) (2024)
Wenhao Xu, Xuefeng Gao, Xuedong He
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents. CoRR (2023)
Wenhao Xu, Xuefeng Gao, Xuedong He
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents. ICML (2023)
Xuefeng Gao, Hoang M. Nguyen, Lingjiong Zhu
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models. CoRR (2023)
Jian Tian, Xuefeng Gao
Research on Knowledge Sharing Efficiency Evaluation of Open Innovation Community: A Case of Xiaomi Community. WHICEB (1) (2023)
Xuefeng Gao, Zuo Quan Xu, Xun Yu Zhou
State-Dependent Temperature Control for Langevin Diffusions. SIAM J. Control. Optim. 60 (3) (2022)
Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration. Oper. Res. 70 (5) (2022)
Xuefeng Gao, Xun Yu Zhou
Square-root regret bounds for continuous-time episodic Markov decision processes. CoRR (2022)
Ningyuan Chen, Xuefeng Gao, Yi Xiong
Debiasing Samples from Online Learning Using Bootstrap. AISTATS (2022)
Weibo Sun, Xuefeng Gao, Yan Wang, Xuan Sun, Siyu Duan, Zihan Wang
Intelligent ventilation remote practice system based on cloud platform. CIPAE (2022)
Xuefeng Gao, Xun Yu Zhou
Logarithmic regret bounds for continuous-time average-reward Markov decision processes. CoRR (2022)
Xiang Zhou, Yi Xiong, Ningyuan Chen, Xuefeng Gao
Regime Switching Bandits. NeurIPS (2021)
Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo. J. Mach. Learn. Res. 22 (2021)
Ningyuan Chen, Xuefeng Gao, Yi Xiong
Debiasing Samples from Online Learning Using Bootstrap. CoRR (2021)
Yi Xiong, Ningyuan Chen, Xuefeng Gao, Xiang Zhou
Sublinear Regret for Learning POMDPs. CoRR (2021)
Xiang Zhou, Ningyuan Chen, Xuefeng Gao, Yi Xiong
Regime Switching Bandits. CoRR (2020)
Yinfei Lv, Huorong Ren, Xuefeng Gao, Tong Sun, Haopeng Zhang, Xinyu Guo
Multi-scale Risk Assessment Model of Network Security Based on LSTM. VECoS (2020)
Xuefeng Gao, Zuo Quan Xu, Xun Yu Zhou
State-Dependent Temperature Control for Langevin Diffusions. CoRR (2020)
Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization. NeurIPS (2020)
Rong Xiang, Xuefeng Gao, Yunfei Long, Anran Li, Emmanuele Chersoni, Qin Lu, Chu-Ren Huang
Ciron: a New Benchmark Dataset for Chinese Irony Detection. LREC (2020)
Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo. CoRR (2020)
Xuefeng Gao, Sophia Yat Mei Lee
Exclamative Sentences in Emotion Expressions in Mandarin Chinese: A Corpus-based Approach. PACLIC (2018)
Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration. CoRR (2018)
Xuefeng Gao, Lingjiong Zhu
Functional central limit theorems for stationary Hawkes processes and application to infinite-server queues. Queueing Syst. Theory Appl. 90 (1-2) (2018)
Longxing Li, Chu-Ren Huang, Xuefeng Gao
A SkE-Assisted Comparison of Three "Prestige" Near Synonyms in Chinese. CLSW (2018)
Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu
Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization. CoRR (2018)
Xuefeng Gao, Yat-Mei Lee
A Corpus-based Analysis of Near-Synonymous Sentence-final Particles in Mandarin Chinese: "bale" and "eryi". PACLIC (2017)
Xuefeng Gao, Christophe Arpin, Jacqueline Marvel, Sotiris A. Prokopiou, Olivier Gandrillon, Fabien Crauste
T cell-APC: a multiscale modeling study. BMC Syst. Biol. 10 (2016)
Jim G. Dai, A. B. Dieker, Xuefeng Gao
Validity of heavy-traffic steady-state approximations in many-server queues with abandonment. Queueing Syst. Theory Appl. 78 (1) (2014)
Xuefeng Gao, Sabin Tabirca, Mark Tangney
Computer simulation of Salmonella typhimurium accumulation within tumors. CMSB (2011)