12 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Overparameterization from Computational Constraints
Sanjam Garg, Somesh Jha, Saeed Mahloujifar +2
Overparameterized models with millions of parameters have been hugely successful. In this work, we ask: can the need for large models be, at least in part, due to the \emph{computa…
stat.ML2021
Online Feature Screening for Data Streams with Concept Drift
Mingyuan Wang, Adrian Barbu
Screening feature selection methods are often used as a preprocessing step for reducing the number of variables before training step. Traditional screening methods only focus on de…
stat.ML2018★ 12 cited
Are screening methods useful in feature selection? An empirical study
Mingyuan Wang, Adrian Barbu
Filter or screening methods are often used as a preprocessing step for reducing the number of variables used by a learning algorithm in obtaining a classification or regression mod…