Shaoliang Nie

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.

By: X. Ni*, Y. Yu *, P. Wu *, Y. Li *, S. Nie n , Q. Que *, C. Chen *

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. (via Semantic Scholar)
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Added: July 13, 2020

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