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2020 – today
- 2024
[j1]Keegan Harris, Vasilis Syrgkanis:
Causal Inference under Incentives: An Annotated Reading List. SIGecom Exch. 22(1): 110-112 (2024)- [c8]Keegan Harris
, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu:
Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) 2024: 69-70 - [i13]Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan:
Regret Minimization in Stackelberg Games with Side Information. CoRR abs/2402.08576 (2024) - [i12]Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins:
Can large language models explore in-context? CoRR abs/2403.15371 (2024) - 2023
- [c7]Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm:
Meta-Learning in Games. ICLR 2023 - [c6]Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu:
Adaptive Principal Component Regression with Applications to Panel Data. NeurIPS 2023 - [c5]Keegan Harris, Chara Podimata, Zhiwei Steven Wu:
Strategic Apple Tasting. NeurIPS 2023 - [c4]Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu:
Meta-Learning Adversarial Bandit Algorithms. NeurIPS 2023 - [i11]Keegan Harris, Chara Podimata, Zhiwei Steven Wu:
Strategic Apple Tasting. CoRR abs/2306.06250 (2023) - [i10]Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu:
Adaptive Principal Component Regression with Applications to Panel Data. CoRR abs/2307.01357 (2023) - [i9]Mikhail Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu:
Meta-Learning Adversarial Bandit Algorithms. CoRR abs/2307.02295 (2023) - [i8]Keegan Harris, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins:
Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI. CoRR abs/2311.18138 (2023) - [i7]Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu:
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. CoRR abs/2312.16307 (2023) - 2022
- [c3]Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu:
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. ICML 2022: 8502-8522 - [c2]Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu:
Bayesian Persuasion for Algorithmic Recourse. NeurIPS 2022 - [i6]Maria-Florina Balcan, Keegan Harris, Mikhail Khodak, Zhiwei Steven Wu:
Meta-Learning Adversarial Bandits. CoRR abs/2205.14128 (2022) - [i5]Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Zhiwei Steven Wu, Tuomas Sandholm:
Meta-Learning in Games. CoRR abs/2209.14110 (2022) - [i4]Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu:
Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR abs/2211.14236 (2022) - 2021
- [c1]Keegan Harris, Hoda Heidari, Zhiwei Steven Wu:
Stateful Strategic Regression. NeurIPS 2021: 28728-28741 - [i3]Keegan Harris, Hoda Heidari, Zhiwei Steven Wu:
Stateful Strategic Regression. CoRR abs/2106.03827 (2021) - [i2]Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu:
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. CoRR abs/2107.05762 (2021) - [i1]Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu:
Bayesian Persuasion for Algorithmic Recourse. CoRR abs/2112.06283 (2021)
Coauthor Index
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