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stat.ML2022
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks
Xiaoyu Ma, Sylvain Sardy, Nick Hengartner +2
To fit sparse linear associations, a LASSO sparsity inducing penalty with a single hyperparameter provably allows to recover the important features (needles) with high probability…
stat.ML2020
What needles do sparse neural networks find in nonlinear haystacks
Sylvain Sardy, Nicolas W Hengartner, Nikolai Bonenko +1
Using a sparsity inducing penalty in artificial neural networks (ANNs) avoids over-fitting, especially in situations where noise is high and the training set is small in comparison…