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11/18/2022
Global quantitative robustness of regression feed-forward neural networks
Neural networks are an indispensable model class for many complex learni...
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05/10/2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The existence of representative datasets is a prerequisite of many succe...
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02/10/2022
Loss-guided Stability Selection
In modern data analysis, sparse model selection becomes inevitable once ...
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11/23/2021
Trimming Stability Selection increases variable selection robustness
Contamination can severely distort an estimator unless the estimation pr...
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03/12/2021
Quantitative robustness of instance ranking problems
Instance ranking problems intend to recover the true ordering of the ins...
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09/24/2019
The column measure and Gradient-Free Gradient Boosting
Sparse model selection by structural risk minimization leads to a set of...
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09/06/2019
A review on ranking problems in statistical learning
Ranking problems define a widely spread class of statistical learning pr...
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09/02/2019