1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2025★ 1 cited
Models Parametric Analysis via Adaptive Kernel Learning
Vladimir Norkin, Alois Pichler
Any applied mathematical model contains parameters. The paper proposes to use kernel learning for the parametric analysis of the model. The approach consists in setting a distribut…
stat.ML2024
On the Approximation of Kernel functions
Paul Dommel, Alois Pichler
Various methods in statistical learning build on kernels considered in reproducing kernel Hilbert spaces. In applications, the kernel is often selected based on characteristics of…