Difference between revisions of "Fairness Without Demographics in Repeated Loss Minimization"

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=Overview of the Paper=
 
=Overview of the Paper=
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=Introduction=
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==Fairness==
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=Example and Problem Setup=
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=Disparity Amplification=

Revision as of 14:16, 19 October 2018

This page contains the summary of the paper "Fairness Without Demographics in Repeated Loss Minimization" by Hashimoto, T. B., Srivastava, M., Namkoong, H., & Liang, P. which was published at the International Conference of Machine Learning (ICML) in 2018. In the following, an

Overview of the Paper

Introduction

Fairness

Example and Problem Setup

Disparity Amplification