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Fairness in Streaming Submodular Maximization over a Matroid Constraint

ICML 2023 · Learning theory and algorithms › Submodular and game algorithms · approach: Streaming submodular algorithms · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Two-pass algorithm (greedy fair reservoir first pass, matroid-intersection second pass) instead of matroid-intersection baselineTWOPASS-FAIR-STREAMING · Maximum coverage, exemplar clustering, movie recommendationobjective value: at most 15% lower than MATROID-INTERSECTIONMixed
Two-pass algorithm instead of matroid-intersection baselineTWOPASS-FAIR-STREAMING · Maximum coverage, exemplar clustering, movie recommendationfairness violations err(S): violation often 2-3 times lower than MATROID-INTERSECTIONHelped
One-pass greedy heuristic (GREEDY-FAIR-STREAMING) instead of matroid-intersection baselineGREEDY-FAIR-STREAMING · Maximum coverage, exemplar clustering, movie recommendationobjective value: lower than MATROID-INTERSECTION by at most 26%Hurt
One-pass greedy heuristic with fair reservoir instead of matroid-intersection baselineGREEDY-FAIR-STREAMING · Maximum coverage, exemplar clustering, movie recommendationfairness violations err(S): no violations in any experimentHelped
Random base set selection (no fairness constraints) instead of fair algorithmsRANDOM · Exemplar-based clusteringobjective valueMixed
Random base set selection instead of fair algorithmsRANDOM · Maximum coverage and movie recommendationobjective valueHurt

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