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math.ST2021★ 1 cited
Posterior contraction for deep Gaussian process priors
Gianluca Finocchio, Johannes Schmidt-Hieber
We study posterior contraction rates for a class of deep Gaussian process priors applied to the nonparametric regression problem under a general composition assumption on the regre…
math.ST2021
Robust-to-outliers square-root LASSO, simultaneous inference with a MOM approach
G. Finocchio, A. Derumigny, K. Proksch
We consider the least-squares regression problem with unknown noise variance, where the observed data points are allowed to be corrupted by outliers. Building on the median-of-mean…