Search Results for author: Reilly Raab

Found 3 papers, 1 papers with code

Conjugate Natural Selection

no code implementations29 Aug 2022 Reilly Raab, Luca de Alfaro, Yang Liu

We prove that Fisher-Rao natural gradient descent (FR-NGD) optimally approximates the continuous time replicator equation (an essential model of evolutionary dynamics), and term this correspondence "conjugate natural selection".

Bayesian Inference

Fairness Transferability Subject to Bounded Distribution Shift

1 code implementation31 May 2022 Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu

Given an algorithmic predictor that is "fair" on some source distribution, will it still be fair on an unknown target distribution that differs from the source within some bound?

BIG-bench Machine Learning Fairness

Unintended Selection: Persistent Qualification Rate Disparities and Interventions

no code implementations NeurIPS 2021 Reilly Raab, Yang Liu

Each agent alternately (1) receives a binary classification label $\hat{Y}$ (e. g., loan approval) from a Bayes-optimal machine learning classifier observing $X$ and (2) may update their qualification $Y$ by imitating successful strategies (e. g., seek a raise) within an isolated group $G$ of agents to which they belong.

Binary Classification Credit score +1

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