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Found 8 papers, 2 papers with code
Targeted Deep Learning: Framework, Methods, and Applications
In this paper, we introduce a framework for targeted deep learning, and we devise and test an approach for adapting standard pipelines to the requirements of targeted deep learning.
DeepMoM: Robust Deep Learning With Median-of-Means
In contrast, the arguably much more common case of corruption that reflects the limited quality of data has been studied much less.
Tuning-free ridge estimators for high-dimensional generalized linear models
Ridge estimators regularize the squared Euclidean lengths of parameters.
Tuning parameter calibration for prediction in personalized medicine
Personalized medicine has become an important part of medicine, for instance predicting individual drug responses based on genomic information.
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