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20122024
most citedVariational Bayes for high-dimensional linear regression with sparse priors

61 citations · 166 across the 16 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

math.ST2021

Contraction rates for sparse variational approximations in Gaussian process regression

Dennis Nieman, Botond Szabo, Harry van Zanten

We study the theoretical properties of a variational Bayes method in the Gaussian Process regression model. We consider the inducing variables method introduced by Titsias (2009a)…

stat.ME2021★ 6 cited

Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification

Wouter van Loon, Frank de Vos, Marjolein Fokkema +4

Multi-view data refers to a setting where features are divided into feature sets, for example because they correspond to different sources. Stacked penalized logistic regression (S…