Haipeng Luo

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Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Alekh AgarwalGoogleVerified email at google.com
Dylan J. FosterPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Satyen KaleResearch Scientist, Google ResearchVerified email at google.com
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Qi ChenMicrosoft Research AsiaVerified email at net.pku.edu.cn
Zhen XiaoPeking UniversityVerified email at pku.edu.cn
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Weijia SongResearch Associate, Cornell UniversityVerified email at cornell.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
Behnam NeyshaburSenior Staff Research Scientist, DeepMindVerified email at google.com
Alina Beygelzimer

Haipeng Luo

Associate Professor, University of Southern California

Verified email at usc.edu - Homepage

machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Adaptive resource provisioning for the cloud using online bin packing W Song, Z Xiao, Q Chen, H Luo IEEE Transactions on Computers 63 (11), 2647-2660, 2013	294	2013
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	279	2015
Variance-reduced and projection-free stochastic optimization E Hazan, H Luo International Conference on Machine Learning, 1263-1271, 2016	194	2016
Corralling a band of bandit algorithms A Agarwal, H Luo, B Neyshabur, RE Schapire Conference on Learning Theory, 12-38, 2017	184	2017
More adaptive algorithms for adversarial bandits CY Wei, H Luo Conference On Learning Theory, 1263-1291, 2018	174	2018
Achieving all with no parameters: Adanormalhedge H Luo, RE Schapire Conference on Learning Theory, 1286-1304, 2015	160	2015
Learning adversarial markov decision processes with bandit feedback and unknown transition C Jin, T Jin, H Luo, S Sra, T Yu International Conference on Machine Learning, 4860-4869, 2020	141*	2020
A new algorithm for non-stationary contextual bandits: Efficient, optimal and parameter-free Y Chen, CW Lee, H Luo, CY Wei Conference on Learning Theory, 696-726, 2019	136	2019
Efficient Contextual Bandits in Non-stationary Worlds H Luo, CY Wei, A Agarwal, J Langford arXiv preprint arXiv:1708.01799, 2017	136	2017
Practical contextual bandits with regression oracles D Foster, A Agarwal, M Dudík, H Luo, R Schapire International Conference on Machine Learning, 1539-1548, 2018	131	2018
Linear last-iterate convergence in constrained saddle-point optimization CY Wei, CW Lee, M Zhang, H Luo arXiv preprint arXiv:2006.09517, 2020	114	2020
Efficient second order online learning by sketching H Luo, A Agarwal, N Cesa-Bianchi, J Langford Advances in Neural Information Processing Systems 29, 2016	112	2016
Model-free reinforcement learning in infinite-horizon average-reward markov decision processes CY Wei, MJ Jahromi, H Luo, H Sharma, R Jain International conference on machine learning, 10170-10180, 2020	107	2020
Last-iterate convergence of decentralized optimistic gradient descent/ascent in infinite-horizon competitive markov games CY Wei, CW Lee, M Zhang, H Luo Conference on learning theory, 4259-4299, 2021	106	2021
Non-stationary reinforcement learning without prior knowledge: An optimal black-box approach CY Wei, H Luo Conference on learning theory, 4300-4354, 2021	104	2021
Model selection for contextual bandits DJ Foster, A Krishnamurthy, H Luo Advances in Neural Information Processing Systems 32, 2019	101	2019
Automatic scaling of internet applications for cloud computing services Z Xiao, Q Chen, H Luo IEEE transactions on computers 63 (5), 1111-1123, 2012	96	2012
Beating stochastic and adversarial semi-bandits optimally and simultaneously J Zimmert, H Luo, CY Wei International Conference on Machine Learning, 7683-7692, 2019	93	2019
Logistic regression: The importance of being improper DJ Foster, S Kale, H Luo, M Mohri, K Sridharan Conference on learning theory, 167-208, 2018	93	2018
Optimal and adaptive algorithms for online boosting A Beygelzimer, S Kale, H Luo International Conference on Machine Learning, 2323-2331, 2015	93	2015

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