Wennan Zhu

According to our database, Wennan Zhu authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding.

Christopher Liaw, Wennan Zhu

CoRR, August, 2025

2024

Auto-Bidding and Auctions in Online Advertising: A Survey.

Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo

SIGecom Exch., 2024

Efficiency of Non-Truthful Auctions in Auto-bidding with Budget Constraints.

Christopher Liaw, Aranyak Mehta, Wennan Zhu

Proceedings of the ACM on Web Conference 2024, 2024

2023

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance.

Jingfeng Wu, Wennan Zhu, Peter Kairouz, Vladimir Braverman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Algorithms for bounding contribution for histogram estimation under user-level privacy.

Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser

Proceedings of the International Conference on Machine Learning, 2023

2022

Histogram Estimation under User-level Privacy with Heterogeneous Data.

Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser

CoRR, 2022

2021

A Field Guide to Federated Optimization.

Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

CoRR, 2021

Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs).

Elliot Anshelevich, Wennan Zhu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Matching, social welfare and ordinal approximation.

Wennan Zhu

PhD thesis, 2020

Federated Heavy Hitters Discovery with Differential Privacy.

Wennan Zhu, Peter Kairouz, Brendan McMahan, Haicheng Sun, Wei Li

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Dynamic data-driven learning for self-healing avionics.

Shigeru Imai, Sida Chen, Wennan Zhu, Carlos A. Varela

Clust. Comput., 2019

Awareness of Voter Passion Greatly Improves the Distortion of Metric Social Choice.

Ben Abramowitz, Elliot Anshelevich, Wennan Zhu

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

2018

Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics.

Sida Chen, Shigeru Imai, Wennan Zhu, Carlos A. Varela

Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Ordinal Approximation for Social Choice, Matching, and Facility Location Problems Given Candidate Positions.

Elliot Anshelevich, Wennan Zhu

Proceedings of the Web and Internet Economics - 14th International Conference, 2018

2017

Tradeoffs Between Information and Ordinal Approximation for Bipartite Matching.

Elliot Anshelevich, Wennan Zhu

Proceedings of the Algorithmic Game Theory - 10th International Symposium, 2017