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Kate Donahue
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2020 – today
- 2024
- [c8]Kate Donahue, Sreenivas Gollapudi, Kostas Kollias:
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making. AAAI 2024: 10030-10038 - [c7]Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins:
Impact of Decentralized Learning on Player Utilities in Stackelberg Games. ICML 2024 - [i11]Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins:
Impact of Decentralized Learning on Player Utilities in Stackelberg Games. CoRR abs/2403.00188 (2024) - [i10]Katy Blumer, Kate Donahue, Katie Fritz, Kate Ivanovich, Katherine Lee, Katie Luo, Cathy Meng, Katie Van Koevering:
An Abundance of Katherines: The Game Theory of Baby Naming. CoRR abs/2404.00732 (2024) - [i9]Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao:
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization. CoRR abs/2410.21764 (2024) - 2023
- [c6]Kate Donahue, Jon M. Kleinberg:
Fairness in model-sharing games. WWW 2023: 3775-3783 - [i8]Kate Donahue, Jon M. Kleinberg:
Private Blotto: Viewpoint Competition with Polarized Agents. CoRR abs/2302.14123 (2023) - [i7]Kate Donahue, Kostas Kollias, Sreenivas Gollapudi:
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making. CoRR abs/2308.11721 (2023) - 2022
- [c5]Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi:
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. FAccT 2022: 1639-1656 - [i6]Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi:
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. CoRR abs/2202.08821 (2022) - 2021
- [c4]Kate Donahue, Jon M. Kleinberg:
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. AAAI 2021: 5303-5311 - [c3]Kate Donahue, Solon Barocas:
Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. FAccT 2021: 185-195 - [c2]Kate Donahue, Jon M. Kleinberg:
Optimality and Stability in Federated Learning: A Game-theoretic Approach. NeurIPS 2021: 1287-1298 - [i5]Kate Donahue, Solon Barocas:
Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. CoRR abs/2103.00347 (2021) - [i4]Kate Donahue, Jon M. Kleinberg:
Optimality and Stability in Federated Learning: A Game-theoretic Approach. CoRR abs/2106.09580 (2021) - [i3]Kate Donahue, Jon M. Kleinberg:
Models of fairness in federated learning. CoRR abs/2112.00818 (2021) - 2020
- [c1]Kate Donahue, Jon M. Kleinberg:
Fairness and utilization in allocating resources with uncertain demand. FAT* 2020: 658-668 - [i2]Kate Donahue, Jon M. Kleinberg:
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. CoRR abs/2010.00753 (2020)
2010 – 2019
- 2019
- [i1]Kate Donahue, Jon M. Kleinberg:
Fairness and Utilization in Allocating Resources with Uncertain Demand. CoRR abs/1906.09050 (2019)
Coauthor Index
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last updated on 2024-12-01 01:15 CET by the dblp team
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