Publications

Conference and Journal Papers

Sampling Winners in Ranked Choice Voting.
(a) Matthew Iceland, Anson Kahng, and Joseph Saber.
IJCAI 2024.
[pdf]

Optimized Distortion and Proportional Fairness in Voting.
(a) Soroush Ebadian, Anson Kahng, Dominik Peters, and Nisarg Shah.
ACM Transactions on Economics and Computation (TEAC).
Supersedes EC 2022.
[pdf]

High-Throughput Cryo-ET Structural Pattern Mining by Unsupervised Deep Iterative Subtomogram Clustering.
Xiangrui Zeng, Anson Kahng, Liang Xue, Julia Mahamid, Yi-Wei Chang, and Min Xu.
PNAS 2023.
[pdf]

Voting with Preference Intensities.
(a) Anson Kahng, Mohamad Latifian, and Nisarg Shah.
AAAI 2023.
[pdf]

Optimized Distortion and Proportional Fairness in Voting.
(a) Soroush Ebadian, Anson Kahng, Dominik Peters, and Nisarg Shah.
EC 2022.
[pdf]

Worst-Case Voting When the Stakes Are High.
(a) Anson Kahng and Gregory Kehne.
AAAI 2022.
[pdf]

Liquid Democracy: An Algorithmic Perspective.
(a) Anson Kahng, Simon Mackenzie, and Ariel D. Procaccia.
Journal of Artificial Intelligence Research (JAIR).
Supersedes AAAI 2018.
[pdf]

District-Fair Participatory Budgeting.
(a) D Ellis Hershkowitz, Anson Kahng, Dominik Peters, and Ariel D. Procaccia.
AAAI 2021.
[pdf]

The Fluid Mechanics of Liquid Democracy.
(a) Paul Gölz, Anson Kahng, Simon Mackenzie, and Ariel D. Procaccia.
ACM Transactions on Economics and Computation (TEAC).
[pdf]

Strategyproof Mean Estimation from Multiple-Choice Questions.
(a) Anson Kahng, Gregory Kehne, and Ariel D. Procaccia.
ICML 2020.
[pdf]

Proportionality in Approval-Based Elections With a Variable Number of Winners.
(a) Rupert Freeman, Anson Kahng, and David M. Pennock.
IJCAI 2020.
[pdf]

HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets.
Yasmine Kotturi, Anson Kahng, Ariel D. Procaccia, and Chinmay Kulkarni.
AAAI 2020.
[pdf]

Computation-Aware Data Aggregation.
(a) Bernhard Haeupler, D Ellis Hershkowitz, Anson Kahng, and Ariel D. Procaccia.
ITCS 2020.
[pdf]

Paradoxes in Fair Machine Learning.
(a) Paul Gölz, Anson Kahng, and Ariel D. Procaccia.
NeurIPS 2019. Spotlight presentation: top 2.5% of submissions.
[pdf] [NeurIPS spotlight slides]

WeBuildAI: Participatory Framework for Fair and Efficient Algorithmic Governance.
Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Ritesh Noothigattu, Daniel See, Siheon Lee, Alex Psomas, and Ariel D. Procaccia.
CSCW 2019.
[pdf]

Statistical Foundations of Virtual Democracy.
(a) Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel D. Procaccia, and Alex Psomas.
ICML 2019.
[pdf] [CMU AI lunch slides]

The Fluid Mechanics of Liquid Democracy.
(a) Paul Gölz, Anson Kahng, Simon Mackenzie, and Ariel D. Procaccia.
WINE 2018.
[pdf] [code]

Liquid Democracy: An Algorithmic Perspective.
(a) Anson Kahng, Simon Mackenzie, and Ariel D. Procaccia.
AAAI 2018.
[pdf] [AAAI slides]

Ranking Wily People Who Rank Each Other.
(a) Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, and Ariel D. Procaccia.
AAAI 2018.
[pdf] [AAAI slides]

Making Right Decisions Based on Wrong Opinions.
(a) Gerdus Benadè, Anson Kahng, and Ariel D. Procaccia.
EC 2017.
[pdf] [EC slides]

Theses

Computational Perspectives on Democracy
Advised by Ariel Procaccia.
PhD Thesis, 2021.
[pdf]

Timing Objectives in Dynamic Kidney Exchange.
Advised by David Parkes.
Undergraduate Honors Thesis, 2016.
[pdf]

(a): authors ordered alphabetically