research
∙
08/20/2020
Minimum discrepancy principle strategy for choosing k in k-NN regression
This paper presents a novel data-driven strategy to choose the hyperpara...
share
research
∙
07/14/2020
Early stopping and polynomial smoothing in regression with reproducing kernels
In this paper we study the problem of early stopping for iterative learn...
research
∙
04/17/2020
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
We investigate the construction of early stopping rules in the nonparame...
research
∙
10/12/2017
New efficient algorithms for multiple change-point detection with kernels
Several statistical approaches based on reproducing kernels have been pr...
research
∙
08/23/2016