UQLab User Manual—Canonical Low-Rank Approximations

Abstract

Canonical low rank approximations (LRA) for regression in tensor decomposed format for Matlab. Contributed to automated hyperparameter optimization routines, abstrated and decoupled LRA algorithm from basis set selection and intermediate optimization routines.

Type
Charilaos Mylonas
Charilaos Mylonas
Doctoral Researcher

Computational scientist with strong interest in deep learning

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