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20062022
most citedFast rates for support vector machines using Gaussian kernels

267 citations · 813 across the 34 of their papers we have counts for

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Showing 2019 · math.STShow all

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math.ST2019

PAC-Bayesian Bounds for Deep Gaussian Processes

Roman Föll, Ingo Steinwart

Variational approximation techniques and inference for stochastic models in machine learning has gained much attention the last years. Especially in the case of Gaussian Processes…

math.ST2019★ 3 cited

Improved Classification Rates for Localized SVMs

Ingrid Blaschzyk, Ingo Steinwart

Localized support vector machines solve SVMs on many spatially defined small chunks and one of their main characteristics besides the computational benefit compared to global SVMs…