Fast Feature Selection with Fairness Constraints

We study the fundamental problem of selecting optimal features for model construction. This problem is computationally challenging on large datasets, even with the use of greedy algorithm variants. To address this challenge, we extend the adaptive query model, recently proposed for the greedy forwar...

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Veröffentlicht in:	arXiv.org 2023-02
Hauptverfasser:	Quinzan, Francesco, Khanna, Rajiv, Hershcovitch, Moshik, Cohen, Sarel, Waddington, Daniel G, Friedrich, Tobias, Mahoney, Michael W
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Datasets Feature selection Generalized linear models Greedy algorithms Matched pursuit Statistical models
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