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A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression.

Michael GötteReinhold SchneiderPhilipp Trunschke
Published in: Frontiers Appl. Math. Stat. (2021)
Keyphrases
  • high dimensional
  • polynomial regression
  • dimensionality reduction
  • sparse data
  • low dimensional
  • feature space
  • nearest neighbor
  • data sets
  • data mining
  • high dimension
  • additive models