Haipeng Luo

Haipeng Luo

University of Southern California

H-index: 34

North America-United States

About Haipeng Luo

Haipeng Luo, With an exceptional h-index of 34 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Regret matching+:(in) stability and fast convergence in games

Online learning in contextual second-price pay-per-click auctions

Improved best-of-both-worlds guarantees for multi-armed bandits: Ftrl with general regularizers and multiple optimal arms

Tractable Local Equilibria in Non-Concave Games

Contextual Multinomial Logit Bandits with General Value Functions

Practical contextual bandits with feedback graphs

Efficient Contextual Bandits with Uninformed Feedback Graphs

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback

Haipeng Luo Information

University

Position

___

Citations(all)

3737

Citations(since 2020)

3222

Cited By

1464

hIndex(all)

34

hIndex(since 2020)

32

i10Index(all)

60

i10Index(since 2020)

58

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Haipeng Luo Skills & Research Interests

machine learning

Top articles of Haipeng Luo

Title

Journal

Author(s)

Publication Date

Regret matching+:(in) stability and fast convergence in games

Advances in Neural Information Processing Systems

Gabriele Farina

Julien Grand-Clément

Christian Kroer

Chung-Wei Lee

Haipeng Luo

2024/2/13

Online learning in contextual second-price pay-per-click auctions

Mengxiao Zhang

Haipeng Luo

2024/4/18

Improved best-of-both-worlds guarantees for multi-armed bandits: Ftrl with general regularizers and multiple optimal arms

Advances in Neural Information Processing Systems

Tiancheng Jin

Junyan Liu

Haipeng Luo

2024/2/13

Tractable Local Equilibria in Non-Concave Games

arXiv preprint arXiv:2403.08171

Yang Cai

Constantinos Daskalakis

Haipeng Luo

Chen-Yu Wei

Weiqiang Zheng

2024/3/13

Contextual Multinomial Logit Bandits with General Value Functions

arXiv preprint arXiv:2402.08126

Mengxiao Zhang

Haipeng Luo

2024/2/12

Practical contextual bandits with feedback graphs

NeurIPS 2023

Mengxiao Zhang*

Yuheng Zhang*

Olga Vrousgou

Haipeng Luo

Paul Mineiro

2023/2

Efficient Contextual Bandits with Uninformed Feedback Graphs

arXiv preprint arXiv:2402.08127

Mengxiao Zhang

Yuheng Zhang

Haipeng Luo

Paul Mineiro

2024/2/12

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback

Advances in Neural Information Processing Systems

Yang Cai

Haipeng Luo

Chen-Yu Wei

Weiqiang Zheng

2023/12

Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games

arXiv preprint arXiv:2401.15240

Yang Cai

Haipeng Luo

Chen-Yu Wei

Weiqiang Zheng

2024/1/26

No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions

Advances in Neural Information Processing Systems

Tiancheng Jin

Junyan Liu

Chloé Rouyer

William Chang

Chen-Yu Wei

...

2024/2/13

No-regret learning in two-echelon supply chain with unknown demand distribution

Mengxiao Zhang

Shi Chen

Haipeng Luo

Yingfei Wang

2023/4/11

On Local Equilibrium in Non-Concave Games

Yang Cai

Constantinos Costis Daskalakis

Haipeng Luo

Chen-Yu Wei

Weiqiang Zheng

2023/10/13

Improved high-probability regret for adversarial bandits with time-varying feedback graphs

Haipeng Luo

Hanghang Tong

Mengxiao Zhang

Yuheng Zhang

2023/2/13

2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond

Chu Wang

Yingfei Wang

Haipeng Luo

Daniel Jiang

Jinghai He

...

2023/8/6

Average-Constrained Policy Optimization

arXiv preprint arXiv:2302.00808

Akhil Agnihotri

Rahul Jain

Haipeng Luo

2023/2/2

Refined regret for adversarial mdps with linear function approximation

Yan Dai

Haipeng Luo

Chen-Yu Wei

Julian Zimmert

2023/7/3

Coordination under Unknown Demand Distribution: Online Learning for Two-Echelon Supply Chains

Shi Chen

Haipeng Luo

Yingfei Wang

Mengxiao Zhang

2023

Posterior sampling-based online learning for the stochastic shortest path model

Mehdi Jafarnia-Jahromi

Liyu Chen

Rahul Jain

Haipeng Luo

2023/7/2

Supply Chain Coordination with Unknown Demand Distribution: No-Regret Learning

Available at SSRN 4456201

Shi Chen

Haipeng Luo

Yingfei Wang

Mengxiao Zhang

2023/5/22

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games

arXiv preprint arXiv:2311.00676

Yang Cai

Gabriele Farina

Julien Grand-Clément

Christian Kroer

Chung-Wei Lee

...

2023/11/1

See List of Professors in Haipeng Luo University(University of Southern California)

Co-Authors

H-index: 63
Elad Hazan

Elad Hazan

Princeton University

H-index: 41
Zhen Xiao

Zhen Xiao

Peking University

H-index: 41
Akshay Krishnamurthy

Akshay Krishnamurthy

University of Massachusetts Amherst

H-index: 26
Dylan J. Foster

Dylan J. Foster

Massachusetts Institute of Technology

H-index: 22
Nika Haghtalab

Nika Haghtalab

University of California, Berkeley

H-index: 10
Weijia Song

Weijia Song

Cornell University

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