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2020 – today
- 2023
[i10]Wenhao Xu, Xuefeng Gao, Xuedong He:
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents. CoRR abs/2301.12601 (2023)- 2022
- [j8]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): 2931-2947 (2022) - [j7]Xuefeng Gao, Zuo Quan Xu, Xun Yu Zhou:
State-Dependent Temperature Control for Langevin Diffusions. SIAM J. Control. Optim. 60(3): 1250-1268 (2022) - [c12]Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Debiasing Samples from Online Learning Using Bootstrap. AISTATS 2022: 8514-8533 - [c11]Weibo Sun, Xuefeng Gao, Yan Wang, Xuan Sun, Siyu Duan, Zihan Wang:
Intelligent ventilation remote practice system based on cloud platform. CIPAE 2022: 345-348 - [i9]Xuefeng Gao, Xun Yu Zhou:
Logarithmic regret bounds for continuous-time average-reward Markov decision processes. CoRR abs/2205.11168 (2022) - [i8]Xuefeng Gao, Xun Yu Zhou:
Square-root regret bounds for continuous-time episodic Markov decision processes. CoRR abs/2210.00832 (2022) - 2021
- [j6]Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu:
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo. J. Mach. Learn. Res. 22: 239:1-239:69 (2021) - [c10]Xiang Zhou, Yi Xiong, Ningyuan Chen, Xuefeng Gao:
Regime Switching Bandits. NeurIPS 2021: 4542-4554 - [i7]Yi Xiong, Ningyuan Chen, Xuefeng Gao, Xiang Zhou:
Sublinear Regret for Learning POMDPs. CoRR abs/2107.03635 (2021) - [i6]Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Debiasing Samples from Online Learning Using Bootstrap. CoRR abs/2108.00236 (2021) - 2020
- [c9]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: 5714-5720 - [c8]Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu:
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization. NeurIPS 2020 - [c7]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: 257-267 - [i5]Xiang Zhou, Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Regime Switching Bandits. CoRR abs/2001.09390 (2020) - [i4]Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu:
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo. CoRR abs/2007.00590 (2020) - [i3]Xuefeng Gao, Zuo Quan Xu, Xun Yu Zhou:
State-Dependent Temperature Control for Langevin Diffusions. CoRR abs/2011.07456 (2020)
2010 – 2019
- 2018
- [j5]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): 161-206 (2018) - [c6]Longxing Li, Chu-Ren Huang, Xuefeng Gao:
A SkE-Assisted Comparison of Three "Prestige" Near Synonyms in Chinese. CLSW 2018: 256-266 - [c5]Xuefeng Gao, Sophia Yat Mei Lee:
Exclamative Sentences in Emotion Expressions in Mandarin Chinese: A Corpus-based Approach. PACLIC 2018 - [i2]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 abs/1809.04618 (2018) - [i1]Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu:
Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization. CoRR abs/1812.07725 (2018) - 2017
- [c4]Xuefeng Gao, Yat-Mei Lee:
A Corpus-based Analysis of Near-Synonymous Sentence-final Particles in Mandarin Chinese: "bale" and "eryi". PACLIC 2017: 222-230 - 2016
- [j4]Xuefeng Gao, Christophe Arpin, Jacqueline Marvel, Sotiris A. Prokopiou, Olivier Gandrillon, Fabien Crauste:
IL-2 sensitivity and exogenous IL-2 concentration gradient tune the productive contact duration of CD8+ T cell-APC: a multiscale modeling study. BMC Syst. Biol. 10: 77 (2016) - [c3]Brian J. Skromme, Vignesh Seetharam, Xuefeng Gao, Bhargav Korrapati, Brian E. McNamara, Yih-Fang Huang, Daniel H. Robinson:
Impact of step-based tutoring on student learning in linear circuit courses. FIE 2016: 1-9 - 2015
- [c2]Brian J. Skromme, Paul J. Rayes, Brian E. McNamara, Vignesh Seetharam, Xuefeng Gao, Theodore Thompson, Xiaoxuan Wang, Bing Cheng, Yih-Fang Huang, Daniel H. Robinson:
Step-based tutoring system for introductory linear circuit analysis. FIE 2015: 1-9 - 2014
- [j3]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): 1-29 (2014) - 2013
- [j2]Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Stochastic optimal control for a general class of dynamic resource allocation problems. SIGMETRICS Perform. Evaluation Rev. 41(2): 3-14 (2013) - [j1]Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. SIGMETRICS Perform. Evaluation Rev. 41(3): 61-63 (2013) - 2011
- [c1]Xuefeng Gao, Sabin Tabirca, Mark Tangney:
Computer simulation of Salmonella typhimurium accumulation within tumors. CMSB 2011: 113-119
Coauthor Index
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last updated on 2023-03-26 00:18 CET by the dblp team
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