Publications
Dynamic Fair Division with Partial Information
Gerdus Benadè, Daniel Halpern, and Alexandros Psomas
Working Paper
Liquid Democracy in Practice: An Empirical Analysis of its Epistemic Performance
Manon Revel, Daniel Halpern, Adam Berinsky, and Ali Jadbabaie
Working Paper
In Defense of Liquid Democracy
Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, and Manon Revel
Working Paper
Distortion in Voting with Top-t Preferences
Allan Borodin, Daniel Halpern, Mohamad Latifian, and Nisarg Shah
IJCAI-22: Proc. of 31st International Joint Conference on Artificial Intelligence, 2022. Forthcoming
Can Buyers Reveal for a Better Deal?
Daniel Halpern, Gregory Kehne, and Jamie Tucker-Foltz
IJCAI-22: Proc. of 31st International Joint Conference on Artificial Intelligence, 2022. Forthcoming
How Many Representatives Do We Need? The Optimal Size of an Epistemic Congress
Manon Revel, Tao Lin, and Daniel Halpern
AAAI-22: Proc. of 36th AAAI Conference on Artificial Intelligence, 2022. Forthcoming.
Fair and Efficient Resource Allocation with Partial Information
Daniel Halpern and Nisarg Shah
IJCAI-21: Proc. of 30th International Joint Conference on Artificial Intelligence, pp. 224-230, 2021.
Aggregating Binary Judgments Ranked By Accuracy
Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, and Piotr Skowron
AAAI-21: Proc. of 35th AAAI Conference on Artificial Intelligence, pp. 5456-5463, 2021.
Fair Division with Binary Valuations: One Rule to Rule Them All
Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, and Nisarg Shah
WINE-20: Proc. 16th Conference on Web and Internet Economics, pp. 370-383, 2020.
Resolving the Optimal Metric Distortion Conjecture
Vasilis Gkatzelis, Daniel Halpern, and Nisarg Shah
FOCS-20: Proc. of 61st Annual IEEE Symposium on Foundations of Computer Science, pp. 1427-1438, 2020.
Fair Division with Subsidy
Daniel Halpern and Nisarg Shah
SAGT-19: Proc. of 12th International Symposium on Algorithmic Game Theory, pp. 374-389, 2019.