Fairness and utilization in allocating resources with uncertain demand. - Kate Donahue; Jon M. Kleinberg (FAT*, 2020)

Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. - Kate Donahue; Jon M. Kleinberg (AAAI, 2021)

Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. - Kate Donahue; Solon Barocas (FAccT, 2021)

Optimality and Stability in Federated Learning: A Game-theoretic Approach. - Kate Donahue; Jon M. Kleinberg (NeurIPS, 2021)

Models of fairness in federated learning. - Kate Donahue; Jon M. Kleinberg (CoRR, 2021)

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. - Kate Donahue; Alexandra Chouldechova; Krishnaram Kenthapadi (FAccT, 2022)

Fairness in model-sharing games. - Kate Donahue; Jon M. Kleinberg (WWW, 2023)

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making. - Kate Donahue; Sreenivas Gollapudi; Kostas Kollias (AAAI, 2024)

Impact of Decentralized Learning on Player Utilities in Stackelberg Games. - Kate Donahue; Nicole Immorlica; Meena Jagadeesan; Brendan Lucier; Aleksandrs Slivkins (ICML, 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)

Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization. - Meitong Liu; Xiaoyuan Zhang; Chulin Xie; Kate Donahue; Han Zhao (CoRR, 2024)

Private Blotto: Viewpoint Competition with Polarized Agents. - Kate Donahue; Jon M. Kleinberg (AAAI, 2025)

AI-Assisted Decision Making with Human Learning. - Gali Noti; Kate Donahue; Jon M. Kleinberg; Sigal Oren (EC, 2025)

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools. - Charlotte Park; Kate Donahue; Manish Raghavan (UMAP (Adjunct Publication), 2025)