A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression
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Publication:6366424
arXiv2104.14255MaRDI QIDQ6366424
Reinhold Schneider, Philipp Trunschke, Michael Götte
Publication date: 29 April 2021
General nonlinear regression (62J02) Complexity and performance of numerical algorithms (65Y20) Multilinear algebra, tensor calculus (15A69) Approximation by other special function classes (41A30)
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