Lecture Notes: Selected topics on robust statistical learning theory
arXiv:1908.10761v138 citations
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It serves as lecture notes for a conference, offering an incremental summary of existing research without new findings.
The paper compiles recent results in robust statistical learning theory, focusing on the principles behind constructing and analyzing estimators rather than providing a comprehensive overview of the field.
These notes gather recent results on robust statistical learning theory. The goal is to stress the main principles underlying the construction and theoretical analysis of these estimators rather than provide an exhaustive account on this rapidly growing field. The notes are the basis of lectures given at the conference StatMathAppli 2019.