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Global quantitative robustness of regression feed-forward neural networks
Neural networks are an indispensable model class for many complex learning tasks.
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models.
Loss-guided Stability Selection
Since model selection depends on the loss function, i. e., predictor sets selected w. r. t.
The column measure and Gradient-Free Gradient Boosting
The fact that certain variables relevant for a particular loss $\tilde L$ never get selected by $L_2-$Boosting is reflected by a respective singular part of $\nu^{(\tilde L)}$ w. r. t.
A review on ranking problems in statistical learning
We discuss the difficulties when trying to optimize those criteria.
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