Kate Donahue

According to our database, Kate Donahue authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Impact of Decentralized Learning on Player Utilities in Stackelberg Games.

Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins

CoRR, 2024

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making.

Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Private Blotto: Viewpoint Competition with Polarized Agents.

Kate Donahue, Jon M. Kleinberg

CoRR, 2023

Fairness in model-sharing games.

Kate Donahue, Jon M. Kleinberg

Proceedings of the ACM Web Conference 2023, 2023

2022

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness.

Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Models of fairness in federated learning.

Kate Donahue, Jon M. Kleinberg

CoRR, 2021

Optimality and Stability in Federated Learning: A Game-theoretic Approach.

Kate Donahue, Jon M. Kleinberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness.

Kate Donahue, Solon Barocas

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation.

Kate Donahue, Jon M. Kleinberg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fairness and utilization in allocating resources with uncertain demand.

Kate Donahue, Jon M. Kleinberg

Proceedings of the FAT* '20: Conference on Fairness, 2020