2 papers
stat.ML2019
Learning high-dimensional probability distributions using tree tensor networks
Erwan Grelier, Anthony Nouy, Régis Lebrun
We consider the problem of the estimation of a high-dimensional probability distribution from i.i.d. samples of the distribution using model classes of functions in tree-based tens…
stat.ML2018
Learning with tree-based tensor formats
Erwan Grelier, Anthony Nouy, Mathilde Chevreuil
This paper is concerned with the approximation of high-dimensional functions in a statistical learning setting, by empirical risk minimization over model classes of functions in tr…