2 papers
stat.ML2026
Testing properties of trees in graphical models with covariance queries
Sofiya Burova, Francisco Calvillo, Gábor Lugosi +1
We consider the problem of testing properties of graphs underlying high-dimensional graphical models. We adopt the model of covariance queries introduced by Lugosi, Truszkowski, Ve…
math.ST2026
Improving variable selection properties with data integration and transfer learning
Paul Rognon-Vael, David Rossell, Piotr Zwiernik
We study variable selection (also called support recovery) in high-dimensional sparse linear regression when one has external information on which variables are likely to be associ…