Zhe Feng

Zhe Feng

I am a Research Scientist in the Market Algorithms group at Google Research, Mountain View. I got my PhD in Computer Science at Harvard University in 2021, where I was fortunately advised by David C. Parkes. My research broadly lies in the intersection between economics and computer science, and mainly focus on understanding how to design better mechanisms through machine learning approaches. See my personal website for more information.

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Online Bidding under RoS Constraints without Knowing the Value
Sushant Vijayan
Zhe Feng
Swati Padmanabhan
Karthikeyan Shanmugam
Arun Suggala
Di Wang
The Web Conference (2025)
Deviate or Not: Learning Coalition Structures with Multi-bit Observations in Games
Yixuan Even Xu
Zhe Feng
Fei Fang
AAAI (2025)
A Field Guide for Pacing Budget and ROS Constraints
Santiago Balseiro
Kshipra Bhawalkar Lane
Zhe Feng
Haihao (Sean) Lu
Vahab Mirrokni
Balasubramanian Sivan
Di Wang
ICML (2024)
Learning Thresholds with Latent Value and Censored Feedback
Jiahao Zhang
Tao Lin
Weiqiang Zheng
Zhe Feng
Yifeng Teng
Xiaotie Deng
ICLR (2024)
The Average-Value Allocation Problem
Kshipra Bhawalkar Lane
Zhe Feng
Anupam Gupta
Aranyak Mehta
David Wajc
Di Wang
APPROX/RANDOM (2024)
Auto-bidding and Auctions in Online Advertising: A Survey
Gagan Aggarwal
Ashwinkumar Badanidiyuru Varadaraja
Santiago Balseiro
Kshipra Bhawalkar Lane
Yuan Deng
Zhe Feng
Gagan Goel
Christopher Liaw
Haihao (Sean) Lu
Mohammad Mahdian
Jieming Mao
Aranyak Mehta
Vahab Mirrokni
Renato Paes Leme
Andres Perlroth
Georgios Piliouras
Jon Schneider
Ariel Schvartzman
Balasubramanian Sivan
Kelly Spendlove
Yifeng Teng
Di Wang
Hanrui Zhang
Mingfei Zhao
Wennan Zhu
Song Zuo
ACM SIGecom Exchanges, 22 (2024)
User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization
Yang Cai
Zhe Feng
Christopher Liaw
Aranyak Mehta
Grigoris Velegkas
The Web Conference (2024)
Auctions with LLM Summaries
Avi Dubey
Zhe Feng
Rahul Kidambi
Aranyak Mehta
Di Wang
KDD (2024)
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
Zhe Feng
Christopher Liaw
Zixin Zhou
ICML-23 (2023)
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
Boxiang Lyu
Zhe Feng
Zachary Robertson
Sanmi Koyejo
ICML-23 (2023)
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