Keegan Harris - RankMe

29 papers A* 9Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. Trans. Mach. Learn. Res. Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu
2025	J	`jnl`	Can ChatGPT Learn My Life From a Week of First-Person Video? CoRR Keegan Harris
2025	J	`jnl`	Learning in Structured Stackelberg Games. CoRR Maria-Florina Balcan, Kiriaki Fragkia, Keegan Harris
2025	J	`jnl`	Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information. CoRR Maria-Florina Balcan, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Keegan Harris, Zhiwei Steven Wu
2025	J	`jnl`	Should You Use Your Large Language Model to Explore or Exploit? CoRR Keegan Harris, Aleksandrs Slivkins
2024	A*	`conf`	Can large language models explore in-context? NeurIPS Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
2024	J	`jnl`	Can large language models explore in-context? CoRR Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
2024	J	`jnl`	Causal Inference under Incentives: An Annotated Reading List. SIGecom Exch. Keegan Harris, Vasilis Syrgkanis
2024	A*	`conf`	Regret Minimization in Stackelberg Games with Side Information. NeurIPS Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan
2024	J	`jnl`	Regret Minimization in Stackelberg Games with Side Information. CoRR Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan
2024	—	`conf`	Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2023	A*	`conf`	Adaptive Principal Component Regression with Applications to Panel Data. NeurIPS Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
2023	J	`jnl`	Adaptive Principal Component Regression with Applications to Panel Data. CoRR Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
2023	J	`jnl`	Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI. CoRR Keegan Harris, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
2023	J	`jnl`	Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. CoRR Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu
2023	A*	`conf`	Meta-Learning Adversarial Bandit Algorithms. NeurIPS Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu
2023	J	`jnl`	Meta-Learning Adversarial Bandit Algorithms. CoRR Mikhail Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu
2023	A*	`conf`	Meta-Learning in Games. ICLR Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
2023	A*	`conf`	Strategic Apple Tasting. NeurIPS Keegan Harris, Chara Podimata, Zhiwei Steven Wu
2023	J	`jnl`	Strategic Apple Tasting. CoRR Keegan Harris, Chara Podimata, Zhiwei Steven Wu
2022	A*	`conf`	Bayesian Persuasion for Algorithmic Recourse. NeurIPS Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2022	J	`jnl`	Meta-Learning Adversarial Bandits. CoRR Maria-Florina Balcan, Keegan Harris, Mikhail Khodak, Zhiwei Steven Wu
2022	J	`jnl`	Meta-Learning in Games. CoRR Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Zhiwei Steven Wu, Tuomas Sandholm
2022	A*	`conf`	Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. ICML Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu
2022	J	`jnl`	Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2021	J	`jnl`	Bayesian Persuasion for Algorithmic Recourse. CoRR Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2021	A*	`conf`	Stateful Strategic Regression. NeurIPS Keegan Harris, Hoda Heidari, Zhiwei Steven Wu
2021	J	`jnl`	Stateful Strategic Regression. CoRR Keegan Harris, Hoda Heidari, Zhiwei Steven Wu
2021	J	`jnl`	Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. CoRR Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu