Works (1)
Updated: July 5th, 2023 14:42
2019 article
Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm
PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19), pp. 2085–2088.
author keywords: feature selection; deep neural networks; online learning; group sparsity; proximal regularization
TL;DR:
A novel neural-network-suitable feature selection algorithm, which selects important features from the input layer during training by injecting group-sparsity regularization into the (stochastic) training algorithm.
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UN Sustainable Development Goal Categories
3. Good Health and Well-being
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Added: July 13, 2020
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