Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Regression Approach
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DOI: 10.1016/j.ifacol.2020.12.1265
Abstract: Abstract We propose a non-parametric regression methodology that enforces the regressor to be fully consistent with the sample set and the ground-truth regularity assumptions. As opposed to the Nonlinear Set Membership technique, this constraint guarantees… read more here.
Keywords: regression; non parametric; learning non; approach ... See more keywords