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 learning high-dimensional target


Learning high-dimensional targets by two-parameter models and gradient flow

Yarotsky, Dmitry

arXiv.org Machine Learning

We explore the theoretical possibility of learning $d$-dimensional targets with $W$-parameter models by gradient flow (GF) when $W

  learning high-dimensional target, lebesgue measure 0, neural network, (9 more...)
2402.17089
  Country:
  Genre: Research Report > New Finding (0.88)