Publications
A Multi-Dimensional Online Contention Resolution Scheme for Revenue Maximization(preprint)
with Shuchi Chawla, Dimitris Christou, Trung Dang, Zhiyi Huang, and Rojin Rezvan
[arXiv]
Pairwise-Independent Contention ResolutionIPCO 2024
with Anupam Gupta, Jinqiao Hu, and Roie Levin
(Integer Programming and Combinatorial Optimization)
Set Covering with Our Eyes Wide ShutSODA 2024
with Anupam Gupta and Roie Levin
(Symposium on Discrete Algorithms)
The Distortion of Binomial Voting Defies ExpectationNeurIPS 2023
with Yannai A. Gonczarowski, Ariel D. Procaccia, Ben Schiffer, and Shirley Zhang
(Neural Information Processing Systems)
Representation with Incomplete VotesAAAI 2023
with Daniel Halpern, Ariel D. Procaccia, Jamie Tucker-Foltz, and Manuel Wüthrich
(AAAI Conference on Artificial Intelligence)
Recruitment Strategies that Take a ChanceNeurIPS 2022
with Ariel D. Procaccia and Jingyan Wang
(Neural Information Processing Systems)
Is Sortition Both Representative and Fair?NeurIPS 2022
with Soroush Ebadian, Evi Micha, Ariel D. Procaccia, and Nisarg Shah
(Neural Information Processing Systems)
Can Buyers Reveal for a Better Deal?IJCAI 2022
with Daniel Halpern and Jamie Tucker-Foltz
(International Joint Conference on Artificial Intelligence)
Worst-Case Voting When the Stakes are HighAAAI 2022
with Anson Kahng
(AAAI Conference on Artificial Intelligence)
[pdf]
The phantom steering effect in Q&A websitesKaIS 2022
with Nicholas Hoernle, Ariel D. Procaccia, and Kobi Gal
(Knowledge and Information Systems) (Supercedes ICDM 2020)
[pdf]
Random Order Set Cover is as Easy as OfflineFOCS 2021
with Anupam Gupta and Roie Levin
(Symposium on Foundations of Computer Science)
Fair Sortition Made TransparentNeurIPS 2021
with Bailey Flanigan and Ariel D. Procaccia
(Neural Information Processing Systems)
Aggregating Binary Judgments Ranked by AccuracyAAAI 2021
with Daniel Halpern, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, and Piotr Skowron
(AAAI Conference on Artificial Intelligence)
[pdf]
An Optimal Rounding for Half-Integral Weighted MSCSSIPL 2021
with D. Ellis Hershkowitz and R. Ravi
(Information Processing Letters)
Strategyproof Mean Estimation from Multiple-Choice QuestionsICML 2020
with Anson Kahng and Ariel D. Procaccia
(International Conference on Machine Learning)
The Phantom Steering Effect in Q&A WebsitesICDM 2020
with Nicholas Hoernle, Ariel D. Procaccia, and Kobi Gal
(International Conference on Data Mining)
Reverse Greedy is Bad for k-CenterIPL 2020
with D. Ellis Hershkowitz
(Information Processing Letters)