1 citations · 2 across the 6 of their papers we have counts for
6 papers
On identification in ill-posed linear regression
Gianluca Finocchio, Tatyana Krivobokova
A novel framework is introduced to formalize identifiability in well-specified but ill-posed linear regression models. The framework is distribution-free and accommodates highly co…
An extended latent factor framework for ill-posed linear regression
Gianluca Finocchio, Tatyana Krivobokova
In many applications, particularly in the natural sciences, the available high-dimensional set of features may contain variables that are not correlated with the response under con…
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…
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…
Bayesian variance estimation in the Gaussian sequence model with partial information on the means
Gianluca Finocchio, Johannes Schmidt-Hieber
Consider the Gaussian sequence model under the additional assumption that a fixed fraction of the means is known. We study the problem of variance estimation from a frequentist Bay…
SciSports: Learning football kinematics through two-dimensional tracking data
Anatoliy Babic, Harshit Bansal, Gianluca Finocchio +7
SciSports is a Dutch startup company specializing in football analytics. This paper describes a joint research effort with SciSports, during the Study Group Mathematics with Indust…