Yu-Xiang Wang

Yu-Xiang Wang

University of California, Santa Barbara

H-index: 40

North America-United States

About Yu-Xiang Wang

Yu-Xiang Wang, With an exceptional h-index of 40 and a recent h-index of 37 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Machine Learning, Statistics, Optimization.

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

Offline reinforcement learning with differential privacy

Privacy Profiles for Private Selection

Improving the privacy and practicality of objective perturbation for differentially private linear learners

Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs

A Privacy-Friendly Approach to Data Valuation

Online label shift: Optimal dynamic regret meets practical algorithms

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints

Weak-to-strong jailbreaking on large language models

Yu-Xiang Wang Information

University

Position

Assistant Professor of Computer Science

Citations(all)

7810

Citations(since 2020)

6878

Cited By

2599

hIndex(all)

40

hIndex(since 2020)

37

i10Index(all)

74

i10Index(since 2020)

73

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Yu-Xiang Wang Skills & Research Interests

Machine Learning

Statistics

Optimization

Top articles of Yu-Xiang Wang

Title

Journal

Author(s)

Publication Date

Offline reinforcement learning with differential privacy

Advances in Neural Information Processing Systems

Dan Qiao

Yu-Xiang Wang

2024/2/13

Privacy Profiles for Private Selection

arXiv preprint arXiv:2402.06701

Antti Koskela

Rachel Redberg

Yu-Xiang Wang

2024/2/9

Improving the privacy and practicality of objective perturbation for differentially private linear learners

Rachel Redberg

Antti Koskela

Yu-Xiang Wang

2023/12/31

Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs

arXiv preprint arXiv:2402.05864

Xuandong Zhao

Lei Li

Yu-Xiang Wang

2024/2/8

A Privacy-Friendly Approach to Data Valuation

Advances in Neural Information Processing Systems

Jiachen Tianhao Wang

Yuqing Zhu

Yu-Xiang Wang

Ruoxi Jia

Prateek Mittal

2024/2/13

Online label shift: Optimal dynamic regret meets practical algorithms

Advances in Neural Information Processing Systems (NeurIPS), 2023, Spotlight

Dheeraj Baby*

Saurabh Garg*

Tzu-Ching Yen*

Sivaraman Balakrishnan

Zachary Chase Lipton

...

2023/5/31

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints

Advances in neural information processing systems

Yu Bai

Chi Jin

Tiancheng Yu

2020

Weak-to-strong jailbreaking on large language models

arXiv preprint arXiv:2401.17256

Xuandong Zhao

Xianjun Yang

Tianyu Pang

Chao Du

Lei Li

...

2024/1/30

Automatic clipping: Differentially private deep learning made easier and stronger

Advances in Neural Information Processing Systems

Zhiqi Bu

Yu-Xiang Wang

Sheng Zha

George Karypis

2024/2/13

Generalized ptr: User-friendly recipes for data-adaptive algorithms with differential privacy

Rachel Redberg

Yuqing Zhu

Yu-Xiang Wang

2023/4/11

Threshold knn-shapley: A linear-time and privacy-friendly approach to data valuation

arXiv preprint arXiv:2308.15709

Jiachen T Wang

Yuqing Zhu

Yu-Xiang Wang

Ruoxi Jia

Prateek Mittal

2023/8/30

Provable robust watermarking for ai-generated text

Xuandong Zhao

Prabhanjan Ananth

Lei Li

Yu-Xiang Wang

2023/6/30

Protecting language generation models via invisible watermarking

Xuandong Zhao

Yu-Xiang Wang

Lei Li

2023/2/6

Posterior sampling with delayed feedback for reinforcement learning with linear function approximation

Advances in Neural Information Processing Systems

Nikki Lijing Kuang

Ming Yin

Mengdi Wang

Yu-Xiang Wang

Yian Ma

2023/12/15

Doubly fair dynamic pricing

Jianyu Xu

Dan Qiao

Yu-Xiang Wang

2023/4/11

Offline policy evaluation for reinforcement learning with adaptively collected data

arXiv preprint arXiv:2306.14063

Sunil Madhow

Dan Xiao

Ming Yin

Yu-Xiang Wang

2023/6/24

Offline reinforcement learning with closed-form policy improvement operators

Jiachen Li

Edwin Zhang

Ming Yin

Qinxun Bai

Yu-Xiang Wang

...

2023/7/3

Model-free algorithm with improved sample efficiency for zero-sum markov games

arXiv preprint arXiv:2308.08858

Songtao Feng

Ming Yin

Yu-Xiang Wang

Jing Yang

Yingbin Liang

2023/8/17

Non-stationary contextual pricing with safety constraints

Dheeraj Baby

Jianyu Xu

Yu-Xiang Wang

2023/10/25

Second order path variationals in non-stationary online learning

Dheeraj Baby

Yu-Xiang Wang

2023/4/11

See List of Professors in Yu-Xiang Wang University(University of California, Santa Barbara)

Co-Authors

H-index: 74
Anima Anandkumar

Anima Anandkumar

California Institute of Technology

H-index: 72
Xifeng Yan

Xifeng Yan

University of California, Santa Barbara

H-index: 47
Ryan Tibshirani

Ryan Tibshirani

Carnegie Mellon University

H-index: 45
Aarti Singh

Aarti Singh

Carnegie Mellon University

H-index: 34
Kamyar Azizzadenesheli

Kamyar Azizzadenesheli

Purdue University

H-index: 31
Yining Wang

Yining Wang

University of Florida

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