Zhe Feng

According to our database, Zhe Feng authored at least 34 papers between 2015 and 2024.

Collaborative distances:

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

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

Optimal Auctions through Deep Learning: Advances in Differentiable Economics.

Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath

J. ACM, 2024

Deep Reinforcement Learning for Sequential Combinatorial Auctions.

Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes

CoRR, 2024

How to Strategize Human Content Creation in the Era of GenAI?

Seyed A. Esmaeili, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu

CoRR, 2024

User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization.

Yang Cai, Zhe Feng, Christopher Liaw, Aranyak Mehta, Grigoris Velegkas

Proceedings of the ACM on Web Conference 2024, 2024

Auctions with LLM Summaries.

Avinava Dubey, Zhe Feng, Rahul Kidambi, Aranyak Mehta, Di Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Field Guide for Pacing Budget and ROS Constraints.

Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Thresholds with Latent Values and Censored Feedback.

Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Average-Value Allocation Problem.

Kshipra Bhawalkar, Zhe Feng, Anupam Gupta, Aranyak Mehta, David Wajc, Di Wang

Proceedings of the Approximation, 2024

2023

Joint Feedback Loop for Spend and Return-On-Spend Constraints.

Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang

CoRR, 2023

User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization.

Yang Cai, Zhe Feng, Christopher Liaw, Aranyak Mehta

CoRR, 2023

Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱.

Zhe Feng, Swati Padmanabhan, Di Wang

Proceedings of the ACM Web Conference 2023, 2023

Learning to Bid in Contextual First Price Auctions✱.

Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh

Proceedings of the ACM Web Conference 2023, 2023

Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts.

Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu

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

2022

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning.

Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards.

Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Context-Integrated Transformer-Based Neural Network for Auction Design.

Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng

Proceedings of the International Conference on Machine Learning, 2022

2021

Understanding PPA-completeness.

Xiaotie Deng, Jack R. Edmonds, Zhe Feng, Zhengyang Liu, Qi Qi, Zeying Xu

J. Comput. Syst. Sci., 2021

Robust Clearing Price Mechanisms for Reserve Price Optimization.

Zhe Feng, Sébastien Lahaie

CoRR, 2021

Deep Learning for Two-Sided Matching.

Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, David C. Parkes

CoRR, 2021

Optimal auctions through deep learning.

Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath

Commun. ACM, 2021

Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss.

Vincent Conitzer, Zhe Feng, David C. Parkes, Eric Sodomka

Proceedings of the Web and Internet Economics - 17th International Conference, 2021

Reserve Price Optimization for First Price Auctions in Display Advertising.

Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye

Proceedings of the 38th International Conference on Machine Learning, 2021

Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions.

Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi

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

2020

Reserve Price Optimization for First Price Auctions.

Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye

CoRR, 2020

The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation.

Zhe Feng, David C. Parkes, Haifeng Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Online Learning for Measuring Incentive Compatibility in Ad Auctions?

Zhe Feng, Okke Schrijvers, Eric Sodomka

Proceedings of the World Wide Web Conference, 2019

2018

An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions.

Zhe Feng, Jinglai Li

SIAM J. Sci. Comput., 2018

Learning to Bid Without Knowing your Value.

Zhe Feng, Chara Podimata, Vasilis Syrgkanis

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Deep Learning for Revenue-Optimal Auctions with Budgets.

Zhe Feng, Harikrishna Narasimhan, David C. Parkes

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Octahedral Tucker is PPA-Complete.

Xiaotie Deng, Zhe Feng, Rucha Kulkarni

Electron. Colloquium Comput. Complex., 2017

Optimal Auctions through Deep Learning.

Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes

CoRR, 2017

2016

Power-Law Distributions in a Two-Sided Market and Net Neutrality.

Xiaotie Deng, Zhe Feng, Christos H. Papadimitriou

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

2015

Understanding PPA-Completeness.

Xiaotie Deng, Zhe Feng, Zhengyang Liu, Qi Qi

Electron. Colloquium Comput. Complex., 2015