Keegan Harris

According to our database, Keegan Harris authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

2024

Can large language models explore in-context?

Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins

CoRR, 2024

Regret Minimization in Stackelberg Games with Side Information.

Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan

CoRR, 2024

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

Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI.

Keegan Harris, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins

CoRR, 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

Adaptive Principal Component Regression with Applications to Panel Data.

Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu

CoRR, 2023

Strategic Apple Tasting.

Keegan Harris, Chara Podimata, Zhiwei Steven Wu

CoRR, 2023

Meta-Learning Adversarial Bandit Algorithms.

Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Strategic Apple Tasting.

Keegan Harris, Chara Podimata, Steven Z. Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Principal Component Regression with Applications to Panel Data.

Anish Agarwal, Keegan Harris, Justin Whitehouse, Steven Z. Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-Learning in Games.

Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Strategyproof Decision-Making in Panel Data Settings and Beyond.

Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu

CoRR, 2022

Meta-Learning Adversarial Bandits.

Maria-Florina Balcan, Keegan Harris, Mikhail Khodak, Zhiwei Steven Wu

CoRR, 2022

Bayesian Persuasion for Algorithmic Recourse.

Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.

Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

Stateful Strategic Regression.

Keegan Harris, Hoda Heidari, Zhiwei Steven Wu

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