2 papers
stat.ML2024
Early stopping and polynomial smoothing in regression with reproducing kernels
Yaroslav Averyanov, Alain Celisse
In this paper, we study the problem of early stopping for iterative learning algorithms in a reproducing kernel Hilbert space (RKHS) in the nonparametric regression framework. In p…
stat.ML2024
Minimum discrepancy principle strategy for choosing in -NN regression
Yaroslav Averyanov, Alain Celisse
We present a novel data-driven strategy to choose the hyperparameter in the -NN regression estimator without using any hold-out data. We treat the problem of choosing the hy…