Search Results for author: Mihaela Curmei

Found 4 papers, 2 papers with code

Towards Psychologically-Grounded Dynamic Preference Models

no code implementations1 Aug 2022 Mihaela Curmei, Andreas Haupt, Dylan Hadfield-Menell, Benjamin Recht

Second, we discuss implications of dynamic preference models for recommendation systems evaluation and design.

Recommendation Systems

Multi-learner risk reduction under endogenous participation dynamics

no code implementations6 Jun 2022 Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel

Previous work on the single learner case shows that myopic risk minimization can result in high overall loss~\citep{perdomo2020performative, miller2021outside} and representation disparity~\citep{hashimoto2018fairness, zhang2019group}.

Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability

1 code implementation30 Jun 2021 Mihaela Curmei, Sarah Dean, Benjamin Recht

In this work, we consider how preference models in interactive recommendation systems determine the availability of content and users' opportunities for discovery.

Recommendation Systems

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