@Article{Podlewski2016, author = "Podlewski, Jacek and Szkutnik, Zbigniew", title = "On a dense minimizer of empirical risk in inverse problems", journal = "Opuscula Math.", year = "2016", volume = "36", number = "5", pages = "671--679", doi = "http://dx.doi.org/10.7494/OpMath.2016.36.5.671", url = "http://dx.doi.org/10.7494/OpMath.2016.36.5.671", abstract = "Properties of estimators of a functional parameter in an inverse problem setup are studied. We focus on estimators obtained through dense minimization (as opposed to minimization over \(\delta\)-nets) of suitably defined empirical risk. At the cost of imposition of a sort of local finite-dimensionality assumption, we fill some gaps in the proofs of results published by Klemelä and Mammen [Ann. Statist. 38 (2010), 482-511]. We also give examples of functional classes that satisfy the modified assumptions.", keywords = "inverse problem, empirical risk minimization", issn = "1232-9274" }