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Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes
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Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes

Armin Askari
Alexandre d’Aspremont
L. Ghaoui
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Papers citing "Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes"

2 / 2 papers shown
Title
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
Adam Breuer
16
0
0
06 Jun 2025
Sparse $\ell_1$ and $\ell_2$ Center Classifiers
Sparse ℓ1\ell_1 and ℓ2\ell_2 Center Classifiers
G. Calafiore
Giulia Fracastoro
33
1
0
17 Nov 2019