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Published at November 17

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML

cs.AI

cs.CY

Released Date: November 17, 2024

Authors: Prakhar Ganesh¹, Usman Gohar², Lu Cheng, Golnoosh Farnadi¹

Aff.: ¹McGill University and Mila; ²Iowa State University

Arxiv: http://arxiv.org/abs/2411.11101v2

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Dataset	Runtime (rounded to 5s intervals)
Dataset	ERM	DiffDP	DiffEOdd	DiffEOpp	HSIC	LAFTR	PRemover	AdvDebias
Bank	1m 15s	1m 15s	1m 45s	1m 45s	1m 50s	1m 46s	1m 50s	1m 25s
German	30s	30s	35s	35s	40s	35s	40s	30s
Adult	1m 40s	1m 40s	1m 45s	1m 45s	2m 0s	1m 50s	2m 0s	1m 40s
COMPAS	30s	30s	30s	30s	30s	30s	30s	30s
KDDCensus	6m 45s	6m 50s	10m 40s	10m 40s	10m 5s	10m 0s	9m 50s	6m 50s
ACS-I	7m 10s	7m 10s	9m 50s	9m 50s	9m 50s	9m 30s	10m 0s	7m 50s
ACS-E	13m 40s	13m 45s	15m 40s	15m 40s	16m 20s	15m 50s	16m 10s	13m 40s
ACS-P	7m 20s	7m 35s	9m 50s	9m 50s	9m 40s	10m 5s	10m 5s	7m 40s
ACS-M	4m 40s	4m 45s	6m 5s	6m 5s	6m 0s	6m 10s	6m 0s	4m 50s
ACS-T	7m 30s	7m 30s	10m 5s	10m 5s	10m 15s	10m 0s	10m 20s	8m 0s