activity
20102020
most citedA coordinate-wise optimization algorithm for the Fused Lasso

11 citations · 12 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CY2020

Is there a role for statistics in artificial intelligence?

Sarah Friedrich, Gerd Antes, Sigrid Behr +11

The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics,…

stat.ME20201 cited

Transfer learning of regression models from a sequence of datasets by penalized estimation

Wessel N. van Wieringen, Harald Binder

Transfer learning refers to the promising idea of initializing model fits based on pre-training on other data. We particularly consider regression modeling settings where parameter…

stat.ML2020

Deep generative models in DataSHIELD

Stefan Lenz, Harald Binder

The best way to calculate statistics from medical data is to use the data of individual patients. In some settings, this data is difficult to obtain due to privacy restrictions. In…

q-bio.GN2019

Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease

Pascal Schlosser, Jochen Knaus, Maximilian Schmutz +7

Background: State-of-the art selection methods fail to identify weak but cumulative effects of features found in many high-dimensional omics datasets. Nevertheless, these features…

stat.CO201011 cited

A coordinate-wise optimization algorithm for the Fused Lasso

Holger Höfling, Harald Binder, Martin Schumacher

L1 -penalized regression methods such as the Lasso (Tibshirani 1996) that achieve both variable selection and shrinkage have been very popular. An extension of this method is the F…