A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression.

Michael Götte Reinhold Schneider Philipp Trunschke

Published in: CoRR (2021)

Keyphrases

high dimensional
polynomial regression
dimensionality reduction
sparse data
high order
feature space
low dimensional
sparse coding
least squares
input space