Search Results for author: Alex Slivkins

Found 2 papers, 0 papers with code

Content Filtering with Inattentive Information Consumers

no code implementations27 May 2022 Ian Ball, James Bono, Justin Grana, Nicole Immorlica, Brendan Lucier, Alex Slivkins

With an exogenous attack probability, we show that increasing the quality of the filter is typically weakly Pareto improving though may sometimes have no impact on equilibrium outcomes and payoffs.

Misinformation Recommendation Systems

Making Contextual Decisions with Low Technical Debt

no code implementations13 Jun 2016 Alekh Agarwal, Sarah Bird, Markus Cozowicz, Luong Hoang, John Langford, Stephen Lee, Jiaji Li, Dan Melamed, Gal Oshri, Oswaldo Ribas, Siddhartha Sen, Alex Slivkins

The Decision Service enables all aspects of contextual bandit learning using four system abstractions which connect together in a loop: explore (the decision space), log, learn, and deploy.

Multi-Armed Bandits online learning

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