Haipeng Luo

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Robert SchapireMicrosoft ResearchDirección de correo verificada de microsoft.com
Alekh AgarwalGoogleDirección de correo verificada de google.com
Dylan J. FosterPrincipal Researcher, Microsoft ResearchDirección de correo verificada de microsoft.com
Vasilis SyrgkanisAssistant Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Satyen KaleResearch Scientist, AppleDirección de correo verificada de satyenkale.com
John LangfordMicrosoft Research New YorkDirección de correo verificada de hunch.net
Miroslav DudikMicrosoft ResearchDirección de correo verificada de microsoft.com
Qi ChenMicrosoft Research AsiaDirección de correo verificada de net.pku.edu.cn
Zhen XiaoPeking UniversityDirección de correo verificada de pku.edu.cn
Elad HazanProfessor at Princeton University and Director Google AI PrincetonDirección de correo verificada de princeton.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteDirección de correo verificada de ttic.edu
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Dirección de correo verificada de google.com
Weijia SongResearch Associate, Cornell UniversityDirección de correo verificada de cornell.edu
Behnam NeyshaburMember of Technical Staff, AnthropicDirección de correo verificada de anthropic.com
Nika HaghtalabUniversity of California, BerkeleyDirección de correo verificada de berkeley.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityDirección de correo verificada de microsoft.com
Alina Beygelzimer

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Haipeng Luo

Associate Professor, University of Southern California

Dirección de correo verificada de usc.edu - Página principal

machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	301	2013
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	297	2015
Variance-reduced and projection-free stochastic optimization E Hazan, H Luo International Conference on Machine Learning, 1263-1271, 2016	202	2016
Corralling a band of bandit algorithms A Agarwal, H Luo, B Neyshabur, RE Schapire Conference on Learning Theory, 12-38, 2017	197	2017
More adaptive algorithms for adversarial bandits CY Wei, H Luo Conference On Learning Theory, 1263-1291, 2018	189	2018
Achieving all with no parameters: Adanormalhedge H Luo, RE Schapire Conference on Learning Theory, 1286-1304, 2015	166	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	154*	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	145	2019
Practical contextual bandits with regression oracles D Foster, A Agarwal, M Dudík, H Luo, R Schapire International Conference on Machine Learning, 1539-1548, 2018	142	2018
Efficient Contextual Bandits in Non-stationary Worlds H Luo, CY Wei, A Agarwal, J Langford arXiv preprint arXiv:1708.01799, 2017	141	2017
Linear last-iterate convergence in constrained saddle-point optimization CY Wei, CW Lee, M Zhang, H Luo arXiv preprint arXiv:2006.09517, 2020	128	2020
Non-stationary reinforcement learning without prior knowledge: An optimal black-box approach CY Wei, H Luo Conference on learning theory, 4300-4354, 2021	122	2021
Efficient second order online learning by sketching H Luo, A Agarwal, N Cesa-Bianchi, J Langford Advances in Neural Information Processing Systems 29, 2016	117	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	114	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	113	2021
Model selection for contextual bandits DJ Foster, A Krishnamurthy, H Luo Advances in Neural Information Processing Systems 32, 2019	106	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	102	2018
Automatic scaling of internet applications for cloud computing services Z Xiao, Q Chen, H Luo IEEE transactions on computers 63 (5), 1111-1123, 2012	98	2012
Optimal and adaptive algorithms for online boosting A Beygelzimer, S Kale, H Luo International Conference on Machine Learning, 2323-2331, 2015	97	2015
Beating stochastic and adversarial semi-bandits optimally and simultaneously J Zimmert, H Luo, CY Wei International Conference on Machine Learning, 7683-7692, 2019	96	2019

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