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Haipeng Luo
Haipeng Luo
Associate Professor, University of Southern California
Bestätigte E-Mail-Adresse bei usc.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2912013
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems 28, 2015
2702015
Variance-reduced and projection-free stochastic optimization
E Hazan, H Luo
International Conference on Machine Learning, 1263-1271, 2016
1922016
Corralling a band of bandit algorithms
A Agarwal, H Luo, B Neyshabur, RE Schapire
Conference on Learning Theory, 12-38, 2017
1762017
More adaptive algorithms for adversarial bandits
CY Wei, H Luo
Conference On Learning Theory, 1263-1291, 2018
1672018
Achieving all with no parameters: Adanormalhedge
H Luo, RE Schapire
Conference on Learning Theory, 1286-1304, 2015
1552015
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
135*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
1312019
Efficient Contextual Bandits in Non-stationary Worlds
H Luo, CY Wei, A Agarwal, J Langford
arXiv preprint arXiv:1708.01799, 2017
1312017
Practical contextual bandits with regression oracles
D Foster, A Agarwal, M Dudík, H Luo, R Schapire
International Conference on Machine Learning, 1539-1548, 2018
1272018
Efficient second order online learning by sketching
H Luo, A Agarwal, N Cesa-Bianchi, J Langford
Advances in Neural Information Processing Systems 29, 2016
1122016
Linear last-iterate convergence in constrained saddle-point optimization
CY Wei, CW Lee, M Zhang, H Luo
arXiv preprint arXiv:2006.09517, 2020
1102020
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
992021
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
992020
Non-stationary reinforcement learning without prior knowledge: An optimal black-box approach
CY Wei, H Luo
Conference on learning theory, 4300-4354, 2021
982021
Model selection for contextual bandits
DJ Foster, A Krishnamurthy, H Luo
Advances in Neural Information Processing Systems 32, 2019
972019
Automatic scaling of internet applications for cloud computing services
Z Xiao, Q Chen, H Luo
IEEE transactions on computers 63 (5), 1111-1123, 2012
942012
Optimal and adaptive algorithms for online boosting
A Beygelzimer, S Kale, H Luo
International Conference on Machine Learning, 2323-2331, 2015
932015
Beating stochastic and adversarial semi-bandits optimally and simultaneously
J Zimmert, H Luo, CY Wei
International Conference on Machine Learning, 7683-7692, 2019
902019
Logistic regression: The importance of being improper
DJ Foster, S Kale, H Luo, M Mohri, K Sridharan
Conference on learning theory, 167-208, 2018
902018
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