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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…