Research
Working Papers
Axioms for AI Alignment from Human Feedback
Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, and Junlin Wu
Federated Assemblies
Daniel Halpern, Ariel D. Procaccia, Ehud Shaprio, and Nimrod Talmon
The Proportional Veto Principle for Approval Ballots
Daniel Halpern, Ariel D. Procaccia, and Warut Suksompong
Journal Publications
Truth Tracking in Liquid Democracy
Adam Berinsky, Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, and Manon Revel
Management Science
Conference Publications
Computing Voting Rules with Elicited Incomplete Votes
Daniel Halpern, Safwan Hossain, and Jamie Tucker-Foltz
EC 2024
On the Existence of Envy-Free Allocations Beyond Additive Valuations
Gerdus Benadè, Daniel Halpern, Alexandros Psomas, and Paritosh Verma
EC 2024
Metric Distortion with Elicited Pairwise Comparisons
Soroush Ebadian, Daniel Halpern, and Evi Micha
IJCAI 2024
Optimal Engagement-Diversity Tradeoffs in Social Media
Fabian Baumann, Daniel Halpern, Iyad Rahwan, Itai Shapira, Ariel D. Procaccia, and Manuel Wüthrich
WWW 2024
Strategyproof Voting under Correlated Beliefs
Daniel Halpern, Rachel Li, and Ariel D. Procaccia
NeurIPS 2023
Smoothed Analysis of Social Choice Revisited
Bailey Flanigan, Daniel Halpern, and Alexandros Psomas
WINE 2023
In Defense of Liquid Democracy
Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, and Manon Revel
EC 2023
Representation with Incomplete Votes
Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, and Manuel Wüthrich
AAAI 2023
Dynamic Fair Division with Partial Information
Gerdus Benadè, Daniel Halpern, and Alexandros Psomas
NeurIPS 2022
Liquid Democracy in Practice: An Empirical Analysis of its Epistemic Performance
Manon Revel, Daniel Halpern, Adam Berinsky, and Ali Jadbabaie
EAAMO 2022
Distortion in Voting with Top-t Preferences
Allan Borodin, Daniel Halpern, Mohamad Latifian, and Nisarg Shah
IJCAI 2022
Can Buyers Reveal for a Better Deal?
Daniel Halpern, Gregory Kehne, and Jamie Tucker-Foltz
IJCAI 2022
How Many Representatives Do We Need? The Optimal Size of an Epistemic Congress
Manon Revel, Tao Lin, and Daniel Halpern
AAAI 2022
Fair and Efficient Resource Allocation with Partial Information
Daniel Halpern and Nisarg Shah
IJCAI 2021
Aggregating Binary Judgments Ranked By Accuracy
Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, and Piotr Skowron
AAAI 2021
Fair Division with Binary Valuations: One Rule to Rule Them All
Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, and Nisarg Shah
WINE 2020
Resolving the Optimal Metric Distortion Conjecture
Vasilis Gkatzelis, Daniel Halpern, and Nisarg Shah
FOCS 2020
Unpublished Manuscripts
Unbiased Information Packets
Daniel Halpern and Ariel D. Procaccia