Yiding Feng 冯逸丁
Postdoctoral Principal Researcher, University of Chicago Booth School of Business
yidingfeng@uchicago.edu CV Google Scholar Profile
Hi! I am a postdoctoral principal researcher at the University of Chicago Booth School of Business, working with Rad Niazadeh and Vahideh Manshadi. I worked as a postdoctoral researcher at Microsoft Research New England from 2021 to 2023. I received my Ph.D. [thesis] from the Department of Computer Science, Northwestern University in 2021 where my advisor was Jason D. Hartline. Before that, I received my BS degree from ACM Honors Class at Shanghai Jiao Tong University.
My current research focuses on examining commonly used algorithms/mechanisms and developing new ones in various online marketplaces. I have primarily addressed problems in online decision making, mechanism & information design.
I will be joining HKUST IEDA as an assistant professor in 2024!
Preprints & Papers under Review
Batching and Optimal Multi-stage Bipartite Allocations
with Rad Niazadeh
minor revision at Management Science (MS)
extended abstract appeared at ITCS'21
subsumes Optimal Multi-stage Configuration Allocation with Applications to Video Advertising
Near-optimal Bayesian Online Assortment of Reusable Resources
with Rad Niazadeh and Amin Saberi
minor revision at Operations Research (OR)
extended abstract appeared at EC'22
supersedes Linear Programming Based Online Policies for Real-time Assortment of Reusable Resources
with Ronen Gradwohl, Jason D. Hartline, Aleck Johnsen and Denis Nekipelov
revise and resubmit at Management Science (MS)
extended abstract appeared at EC'22
Strategic Budget Selection in a Competitive Autobidding World
with Brendan Lucier and Aleksandrs Slivkins
under review
Mobility Data in Operations: The Facility Location Problem
with Ozan Candogan
under review
Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response
with Chien-Ju Ho and Wei Tang
under review
Online Assortment of Reusable Resources with Exogenous Replenishment
with Rad Niazadeh and Amin Saberi
under preparation
supersedes Linear Programming Based Online Policies for Real-time Assortment of Reusable Resources
Journal Articles
Two-stage Matching and Pricing with Applications to Ride Hailing
with Rad Niazadeh and Amin Saberi
Operations Research (OR)
Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures
with John R. Birge and Ozan Candogan
Management Science (MS)
Conference Proceedings
Dynamic Pricing and Learning with Bayesian Persuasion
with Shipra Agrawal and Wei Tang
in Proc. 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)
Online Resource Allocation with Buyback: Optimal Algorithms via Primal-Dual
with Farbod Ekbatani and Rad Niazadeh
in Proc. 24th ACM conference on Economics and Computation (EC 2023)
Simple Mechanisms for Agents with Non-linear Utilities
with Jason D. Hartline and Yingkai Li
in Proc. 34th ACM-SIAM Symposium on Discrete Algorithms (SODA 2023)
Competitive Information Design for Pandora's Box
with Bolin Ding, Chien-Ju Ho, Wei Tang and Haifeng Xu
in Proc. 34th ACM-SIAM Symposium on Discrete Algorithms (SODA 2023)
Online Bayesian Recommendation with No Regret
with Wei Tang and Haifeng Xu
in Proc. 23rd ACM conference on Economics and Computation (EC 2022)
Near-optimal Bayesian Online Assortment of Reusable Resources
with Rad Niazadeh and Amin Saberi
in Proc. 23rd ACM conference on Economics and Computation (EC 2022)
with Ronen Gradwohl, Jason D. Hartline, Aleck Johnsen and Denis Nekipelov
in Proc. 23rd ACM conference on Economics and Computation (EC 2022)
Revelation Gap for Pricing from Samples
with Jason D. Hartline and Yingkai Li
in Proc. 53rd ACM Symposium on Theory of Computing (STOC 2021)
Batching and Optimal Multi-stage Bipartite Allocations
with Rad Niazadeh
in Proc. 12th Innovations in Theoretical Computer Science (ITCS 2021)
Two-stage Matching and Pricing with Applications to Ride Hailing
with Rad Niazadeh, Amin Saberi
in Proc. 32nd ACM-SIAM Symposium on Discrete Algorithms (SODA 2021)
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
with Ekaterina Khmelnitskaya and Denis Nekipelov
in Proc. 37th International Conference on Machine Learning (ICML 2020)
Optimal Auctions vs. Anonymous Pricing: Beyond Linear Utility
with Jason D. Hartline and Yingkai Li
in Proc. 20th ACM conference on Economics and Computation (EC 2019)
An End-to-end Argument in Mechanism Design (Prior-independent Auctions for Budgeted Agents)
with Jason D. Hartline
in Proc. 59th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2018)