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Decision-aid or Controller? Steering Human Decision Makers with Algorithms


Mar 23, 2023
Ruqing Xu, Sarah Dean

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Cross-Dataset Propensity Estimation for Debiasing Recommender Systems


Dec 22, 2022
Fengyu Li, Sarah Dean

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* In Workshop on Distribution Shifts, 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 

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Online Convex Optimization with Unbounded Memory


Oct 18, 2022
Raunak Kumar, Sarah Dean, Robert D. Kleinberg

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Modeling Content Creator Incentives on Algorithm-Curated Platforms


Jun 27, 2022
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean

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Multi-learner risk reduction under endogenous participation dynamics


Jun 06, 2022
Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel

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Preference Dynamics Under Personalized Recommendations


May 25, 2022
Sarah Dean, Jamie Morgenstern

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* EC 2022 

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Reward Reports for Reinforcement Learning


Apr 25, 2022
Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron Snoswell

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Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems


Feb 11, 2022
Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert

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* Center for Long Term Cybersecurity Whitepaper Series Feb. 2022; see release https://cltc.berkeley.edu/2022/02/08/reward-reports/ 
* 60 pages 

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Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability


Jun 30, 2021
Mihaela Curmei, Sarah Dean, Benjamin Recht

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* to appear ICML 2021 

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Axes for Sociotechnical Inquiry in AI Research


Apr 26, 2021
Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

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* 9 pages, 1 figure 

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