184 citations · 270 across the 14 of their papers we have counts for
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cs.LG2021
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
Lam Si Tung Ho, Nicholas Richardson, Giang Tran
In this paper, we propose an adaptive group Lasso deep neural network for high-dimensional function approximation where input data are generated from a dynamical system and the tar…
stat.ML2021★ 35 cited
Generalization Bounds for Sparse Random Feature Expansions
Abolfazl Hashemi, Hayden Schaeffer, Robert Shi +3
Random feature methods have been successful in various machine learning tasks, are easy to compute, and come with theoretical accuracy bounds. They serve as an alternative approach…