Search Results for author: Miranda Bogen

Found 5 papers, 1 papers with code

Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning

no code implementations5 Jun 2023 Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani

While there are many definitions of fairness that could be applicable in the context of personalized systems, we present a framework which we call the Variance Reduction System (VRS) for achieving more equitable outcomes in Meta's ads systems.

Fairness Privacy Preserving +2

Adaptive Sampling Strategies to Construct Equitable Training Datasets

no code implementations31 Jan 2022 William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, Sharad Goel

In domains ranging from computer vision to natural language processing, machine learning models have been shown to exhibit stark disparities, often performing worse for members of traditionally underserved groups.

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