Stateful Strategic Regression. - Keegan Harris; Hoda Heidari; Zhiwei Steven Wu (NeurIPS, 2021)

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. - Keegan Harris; Dung Daniel T. Ngo; Logan Stapleton; Hoda Heidari; Steven Wu 001 (ICML, 2022)

Bayesian Persuasion for Algorithmic Recourse. - Keegan Harris; Valerie Chen; Joon Sik Kim; Ameet Talwalkar; Hoda Heidari; Zhiwei Steven Wu (NeurIPS, 2022)

Meta-Learning Adversarial Bandits. - Maria-Florina Balcan; Keegan Harris; Mikhail Khodak; Zhiwei Steven Wu (CoRR, 2022)

Meta-Learning in Games. - Keegan Harris; Ioannis Anagnostides; Gabriele Farina; Mikhail Khodak; Steven Wu 001; Tuomas Sandholm (ICLR, 2023)

Adaptive Principal Component Regression with Applications to Panel Data. - Anish Agarwal; Keegan Harris; Justin Whitehouse; Zhiwei Steven Wu (NeurIPS, 2023)

Strategic Apple Tasting. - Keegan Harris; Chara Podimata; Zhiwei Steven Wu (NeurIPS, 2023)

Meta-Learning Adversarial Bandit Algorithms. - Misha Khodak; Ilya Osadchiy; Keegan Harris; Maria-Florina Balcan; Kfir Y. Levy; Ron Meir; Zhiwei Steven Wu (NeurIPS, 2023)

Meta-Learning Adversarial Bandit Algorithms. - Mikhail Khodak; Ilya Osadchiy; Keegan Harris; Maria-Florina Balcan; Kfir Y. Levy; Ron Meir; Zhiwei Steven Wu (CoRR, 2023)

Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI. - Keegan Harris; Nicole Immorlica; Brendan Lucier; Aleksandrs Slivkins (CoRR, 2023)

Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. - Dung Daniel T. Ngo; Keegan Harris; Anish Agarwal; Vasilis Syrgkanis; Zhiwei Steven Wu (CoRR, 2023)

Regret Minimization in Stackelberg Games with Side Information. - Keegan Harris; Zhiwei Steven Wu; Maria-Florina Balcan (NeurIPS, 2024)

Can large language models explore in-context? - Akshay Krishnamurthy; Keegan Harris; Dylan J. Foster; Cyril Zhang; Aleksandrs Slivkins (NeurIPS, 2024)

Strategyproof Decision-Making in Panel Data Settings and Beyond. - Keegan Harris; Anish Agarwal; Chara Podimata; Zhiwei Steven Wu (SIGMETRICS/Performance (Abstracts), 2024)

Causal Inference under Incentives: An Annotated Reading List. - Keegan Harris; Vasilis Syrgkanis (SIGecom Exch., 2024)

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information. - Maria-Florina Balcan; Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Keegan Harris; Zhiwei Steven Wu (CoRR, 2025)

Should You Use Your Large Language Model to Explore or Exploit? - Keegan Harris; Aleksandrs Slivkins (CoRR, 2025)

Can ChatGPT Learn My Life From a Week of First-Person Video? - Keegan Harris (CoRR, 2025)

Learning in Structured Stackelberg Games. - Maria-Florina Balcan; Kiriaki Fragkia; Keegan Harris (CoRR, 2025)