Keegan Harris

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 21

Top Topics

Principal Component Regression

Capacity Planning

Top Venues

SIGMETRICS/Performance (Abstracts)

Publications

Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
Can large language models explore in-context? CoRR (2024)
Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) (2024)
Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan
Regret Minimization in Stackelberg Games with Side Information. CoRR (2024)
Anish Agarwal, Keegan Harris, Justin Whitehouse, Steven Z. Wu
Adaptive Principal Component Regression with Applications to Panel Data. NeurIPS (2023)
Keegan Harris, Chara Podimata, Steven Z. Wu
Strategic Apple Tasting. NeurIPS (2023)
Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu
Meta-Learning Adversarial Bandit Algorithms. NeurIPS (2023)
Mikhail Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu
Meta-Learning Adversarial Bandit Algorithms. CoRR (2023)
Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
Meta-Learning in Games. ICLR (2023)
Keegan Harris, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI. CoRR (2023)
Keegan Harris, Chara Podimata, Zhiwei Steven Wu
Strategic Apple Tasting. CoRR (2023)
Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
Adaptive Principal Component Regression with Applications to Panel Data. CoRR (2023)
Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. CoRR (2023)
Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. ICML (2022)
Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR (2022)
Maria-Florina Balcan, Keegan Harris, Mikhail Khodak, Zhiwei Steven Wu
Meta-Learning Adversarial Bandits. CoRR (2022)
Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Zhiwei Steven Wu, Tuomas Sandholm
Meta-Learning in Games. CoRR (2022)
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
Bayesian Persuasion for Algorithmic Recourse. NeurIPS (2022)
Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. CoRR (2021)
Keegan Harris, Hoda Heidari, Zhiwei Steven Wu
Stateful Strategic Regression. NeurIPS (2021)
Keegan Harris, Hoda Heidari, Zhiwei Steven Wu
Stateful Strategic Regression. CoRR (2021)
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
Bayesian Persuasion for Algorithmic Recourse. CoRR (2021)