Kate Donahue

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Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Oliver HauserProfessor of Economics, University of ExeterVerified email at exeter.ac.uk
Christian HilbeIT:U Linz, AustriaVerified email at it-u.at
Alexandra ChouldechovaResearcher @ MSR NYC FATEVerified email at microsoft.com
Krishnaram KenthapadiOracle Health AIVerified email at CS.Stanford.EDU
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Associate Professor, Information Science, CornellVerified email at cornell.edu
Kostas KolliasGoogle ResearchVerified email at google.com
Sreenivas GollapudiGoogleVerified email at google.com
Brendan LucierMicrosoft ResearchVerified email at microsoft.com
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Aleksandrs SlivkinsSenior Principal Researcher, Microsoft Research NYCVerified email at microsoft.com
Meena JagadeesanPhD Student, UC BerkeleyVerified email at berkeley.edu

Kate Donahue

Postdoc, MIT

Verified email at cs.cornell.edu - Homepage

societal impact of ai algorithmic fairness federated learning human algorithm collaboration


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation K Donahue, J Kleinberg AAAI 2021, 2020	91	2020
Optimality and Stability in Federated Learning: A Game-theoretic Approach K Donahue, J Kleinberg Neurips 2021, 2021	63	2021
Fairness and utilization in allocating resources with uncertain demand K Donahue, J Kleinberg Proceedings of the 2020 conference on fairness, accountability, and …, 2020	56	2020
Evolving cooperation in multichannel games K Donahue, OP Hauser, MA Nowak, C Hilbe Nature communications 11 (1), 3885, 2020	54	2020
Human-algorithm collaboration: Achieving complementarity and avoiding unfairness K Donahue, A Chouldechova, K Kenthapadi Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	45	2022
Models of fairness in federated learning K Donahue, J Kleinberg arXiv preprint arXiv:2112.00818, 2021	26*	2021
Better together? how externalities of size complicate notions of solidarity and actuarial fairness K Donahue, S Barocas Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021	8	2021
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making K Donahue, S Gollapudi, K Kollias Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10030 …, 2024	5	2024
Impact of Decentralized Learning on Player Utilities in Stackelberg Games K Donahue, N Immorlica, M Jagadeesan, B Lucier, A Slivkins arXiv preprint arXiv:2403.00188, 2024	3	2024
Analysis and Simulation of the Operation of a Kelvin Probe RD Reasenberg, KP Donahue, JD Phillips Classical and Quantum Gravity 30 (12), 125016, 2013	3	2013
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization M Liu, X Zhang, C Xie, K Donahue, H Zhao arXiv preprint arXiv:2410.21764, 2024	1	2024
An Abundance of Katherines: The Game Theory of Baby Naming K Blumer, K Donahue, K Fritz, K Ivanovich, K Lee, K Luo, C Meng, ... arXiv preprint arXiv:2404.00732, 2024	1	2024
Private Blotto: Viewpoint Competition with Polarized Agents K Donahue, J Kleinberg arXiv preprint arXiv:2302.14123, 2023	1	2023
AI as a Resource: Strategy, Uncertainty, and Societal Welfare K Donahue Cornell University, 2024		2024

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