Kate Donahue

According to our database, Kate Donahue authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Human-AI Collaboration with Misaligned Preferences.

Jiaxin Song, Parnian Shahkar, Kate Donahue, Bhaskar Ray Chaudhury

CoRR, November, 2025

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools.

Charlotte Park, Kate Donahue, Manish Raghavan

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

AI-Assisted Decision Making with Human Learning.

Gali Noti, Kate Donahue, Jon M. Kleinberg, Sigal Oren

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Private Blotto: Viewpoint Competition with Polarized Agents.

Kate Donahue, Jon M. Kleinberg

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization.

Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao

CoRR, 2024

An Abundance of Katherines: The Game Theory of Baby Naming.

Katy Blumer, Kate Donahue, Katie Fritz, Kate Ivanovich, Katherine Lee, Katie Luo, Cathy Meng, Katie Van Koevering

CoRR, 2024

Impact of Decentralized Learning on Player Utilities in Stackelberg Games.

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

Proceedings of the Forty-first International Conference on Machine Learning, 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

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