Sotabase

Career

· Assistant Professor, University of Rochester2022–
· Postdoctoral Researcher, University of Toronto2021–2022
· Graduate Research Intern, Microsoft Research2019–2019
· PhD in Computer Science, Carnegie Mellon University2016–2021
· Intern, Google2014–2014
· Bachelor of Arts in Computer Science, Harvard University2012–2016

Publications (56)

WeBuildAI
Proc. ACM Hum. Comput. Interact. · 2019
121
cited
Liquid Democracy: An Algorithmic Perspective
AAAI Conference on Artificial Intelligence · 2018
120
cited
The Fluid Mechanics of Liquid Democracy
Workshop on Internet and Network Economics · 2018
75
cited
Statistical Foundations of Virtual Democracy
International Conference on Machine Learning · 2019
43
cited
Ranking Wily People Who Rank Each Other
AAAI Conference on Artificial Intelligence · 2018
41
cited
High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering
Proceedings of the National Academy of Sciences of the United States of America · 2023
39
cited
Paradoxes in Fair Machine Learning
Neural Information Processing Systems · 2019
31
cited
WeBuildAI: Participatory Framework for Fair and Efficient Algorithmic Governance
2018
26
cited
District-Fair Participatory Budgeting
AAAI Conference on Artificial Intelligence · 2021
23
cited
HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets
AAAI Conference on Artificial Intelligence · 2020
15
cited
Proportionality in Approval-Based Elections With a Variable Number of Winners
International Joint Conference on Artificial Intelligence · 2020
13
cited
DISCA: high-throughput cryo-ET structural pattern mining by deep unsupervised clustering
bioRxiv · 2021
8
cited
Making Right Decisions Based on Wrong Opinions
ACM Conference on Economics and Computation · 2017
3
cited
Voting with Preference Intensities
AAAI Conference on Artificial Intelligence · 2023
3
cited
Strategyproof Mean Estimation from Multiple-Choice Questions
International Conference on Machine Learning · 2020
2
cited
Timing Objectives in Dynamic Kidney Exchange
2016
2
cited
Worst-Case Voting When the Stakes Are High
AAAI Conference on Artificial Intelligence · 2022
2
cited
Incentivizing Effort and Ensuring Impartiality on Amazon Mechanical Turk
2017
1
cited
Rising above Conflicts of Interest : Algorithms and Interfaces to Assess Peers Impartially
2018
1
cited
A Computational Approach to Organizational Structure
arXiv.org · 2018
Sotabase
Anson Kahng | Researcher Profile | Sotabase | Sotabase