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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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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)…