Sparse Quadratic Logistic Regression in Sub-quadratic Time

arXiv: Machine Learning, Volume abs/1703.02682, 2017.

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Abstract:

We consider support recovery in the quadratic logistic regression setting - where the target depends on both p linear terms $x_i$ and up to $p^2$ quadratic terms $x_i x_j$. Quadratic terms enable prediction/modeling of higher-order effects between features and the target, but when incorporated naively may involve solving a very large re...More

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