59 citations · 195 across the 37 of their papers we have counts for
3 papers · 1 filter
On Learning the Optimal Regularization Parameter in Inverse Problems
Jonathan Chirinos Rodriguez, Ernesto De Vito, Cesare Molinari +2
Selecting the best regularization parameter in inverse problems is a classical and yet challenging problem. Recently, data-driven approaches have become popular to tackle this chal…
Consistent Learning by Composite Proximal Thresholding
Patrick L. Combettes, Saverio Salzo, Silvia Villa
We investigate the modeling and the numerical solution of machine learning problems with prediction functions which are linear combinations of elements of a possibly infinite-dimen…
Regularized Learning Schemes in Feature Banach Spaces
Patrick L. Combettes, Saverio Salzo, Silvia Villa
This paper proposes a unified framework for the investigation of constrained learning theory in reflexive Banach spaces of features via regularized empirical risk minimization. The…