71 citations · 115 across the 9 of their papers we have counts for
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cs.LG2021
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan, Alexander Wei, Yixin Wang +2
Large-scale, two-sided matching platforms must find market outcomes that align with user preferences while simultaneously learning these preferences from data. Classical notions of…
cs.GT2021★ 7 cited
Designing Approximately Optimal Search on Matching Platforms
Nicole Immorlica, Brendan Lucier, Vahideh Manshadi +1
We study the design of a decentralized two-sided matching market in which agents' search is guided by the platform. There are finitely many agent types, each with (potentially rand…