A robust SCQM model extending SQMF to accommodate generalized Gaussian and radial Laplace noise, solved via gradient descent with line search and validated through sensitivity analysis and experiments.
Manifold approximation by moving least- squares projection.Constructive Approximation, 52(3):433–478, 2020
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Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning
A robust SCQM model extending SQMF to accommodate generalized Gaussian and radial Laplace noise, solved via gradient descent with line search and validated through sensitivity analysis and experiments.