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Found 3 papers, 2 papers with code
K-bMOM: a robust Lloyd-type clustering algorithm based on bootstrap Median-of-Means
To our knowledge, it is the first result of this kind for the K-means distorsion.
A concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise
We prove a new and general concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise.
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases
We investigate the optimality for model selection of the so-called slope heuristics, $V$-fold cross-validation and $V$-fold penalization in a heteroscedastic with random design regression context.
Statistics Theory Methodology Statistics Theory
