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)

Proc. ACM Hum. Comput. Interact. · 2019
121
cited
AAAI Conference on Artificial Intelligence · 2018
120
cited
Workshop on Internet and Network Economics · 2018
75
cited
Statistical Foundations of Virtual Democracy
International Conference on Machine Learning · 2019
43
cited
AAAI Conference on Artificial Intelligence · 2018
41
cited
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
AAAI Conference on Artificial Intelligence · 2021
23
cited
15
cited
International Joint Conference on Artificial Intelligence · 2020
13
cited
ACM Conference on Economics and Computation · 2017
3
cited
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
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
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Anson Kahng | Researcher Profile | Sotabase | Sotabase