Paper ID: 2306.11928

Open Problem: Learning with Variational Objectives on Measures

Vivien Cabannes, Carles Domingo-Enrich

The theory of statistical learning has focused on variational objectives expressed on functions. In this note, we discuss motivations to write similar objectives on measures, in particular to discuss out-of-distribution generalization and weakly-supervised learning. It raises a natural question: can one cast usual statistical learning results to objectives expressed on measures? Does the resulting construction lead to new algorithms of practical interest?

Submitted: Jun 20, 2023