11 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 1 cited
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
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. We propose an ev…
cs.IR2020★ 11 cited
Do Offline Metrics Predict Online Performance in Recommender Systems?
Karl Krauth, Sarah Dean, Alex Zhao +4
Recommender systems operate in an inherently dynamical setting. Past recommendations influence future behavior, including which data points are observed and how user preferences ch…
cs.GT2020
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty
Wenshuo Guo, Mihaela Curmei, Serena Wang +2
We study the problem of finding equilibrium strategies in multi-agent games with incomplete payoff information, where the payoff matrices are only known to the players up to some b…