Total least squares problems on infinite dimensional spaces
Maximiliano Contino, Guillermina Fongi, Alejandra Maestripieri,, Santiago Muro

TL;DR
This paper investigates weighted total least squares problems in infinite dimensional spaces, revealing non-existence issues and proposing regularization techniques with conditions for solutions and subset restrictions to ensure solvability.
Contribution
It introduces regularization methods for infinite dimensional total least squares problems and provides conditions under which solutions exist.
Findings
Most infinite dimensional weighted total least squares problems lack solutions
Regularization can enable solutions in certain cases
Restricting to specific subsets guarantees solvability
Abstract
In this work we study weighted total least squares problems on infinite dimensional spaces. We show that in most cases this problem does not admit a solution (except in the trivial case) and then, we consider a regularization on the problem. We present necessary conditions for the regularized problem to have a solution. We also show that, by restricting the regularized minimization problem to special subsets, the existence of a solution may be assured.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
