Kate Donahue

According to our database, Kate Donahue authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Impacts of Aggregation on Model Diversity and Consumer Utility.

Kate Donahue, Manish Raghavan

CoRR, February, 2026

Data Sharing with Endogenous Choices over Differential Privacy Levels.

Raef Bassily, Kate Donahue, Diptangshu Sen, Annuo Zhao, Juba Ziani

CoRR, February, 2026

Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning.

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

Trans. Mach. Learn. Res., 2026

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

Charlotte Park, Kate Donahue, Manish Raghavan

Proceedings of the 7th Symposium on Foundations of Responsible Computing, 2026

2025

Optimal Selection Using Algorithmic Rankings with Side Information.

Kate Donahue, Nicole Immorlica, Brendan Lucier

CoRR, November, 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

Human-AI Collaboration with Misaligned Preferences.

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

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, 2025

Private Blotto: Viewpoint Competition with Polarized Agents.

Kate Donahue, Jon M. Kleinberg

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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