Johannes Lederer

On the prediction performance of the Lasso

Arnak S. Dalalyan, Mohamed Hebiri, Johannes Lederer · Bernoulli · 2016 · 150 citations · Full text

Sparse Representation, Engineering, Machine Learning +13

The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms

Florentina Bunea, Johannes Lederer, Yiyuan She · IEEE Transactions on Information Theory · 2013 · 135 citations

Low-rank Approximation, Sparse Representation, Engineering +12

How Correlations Influence Lasso Prediction

Mohamed Hebiri, Johannes Lederer · IEEE Transactions on Information Theory · 2012 · 110 citations · Full text

Standard Tuning Parameters, Engineering, Machine Learning +12

The Bernstein–Orlicz norm and deviation inequalities

Sara van de Geer, Johannes Lederer · Probability Theory and Related Fields · 2012 · 63 citations · Full text

Measure Theory, Engineering, Entropy +5

Activation Functions in Artificial Neural Networks: A Systematic Overview

Johannes Lederer · arXiv (Cornell University) · 2021 · 43 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +16