14 citations · 16 across the 6 of their papers we have counts for
4 papers · 1 filter
Double descent for least-squares interpolation on contaminated data: A simulation study
Tino Werner
Overparametrized models can exhibit an excellent generalization performance, although they should be prone to overfitting according to classical statistical theory. The discovery o…
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…
Loss-guided Stability Selection
Tino Werner
In modern data analysis, sparse model selection becomes inevitable once the number of predictors variables is very high. It is well-known that model selection procedures like the L…
A review on ranking problems in statistical learning
Tino Werner
Ranking problems, also known as preference learning problems, define a widely spread class of statistical learning problems with many applications, including fraud detection, docum…