The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies

Ronen Basri, David W. Jacobs, Yoni Kasten, Shira Kritchman. The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 4763-4772, 2019. [doi]

@inproceedings{BasriJKK19,
  title = {The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies},
  author = {Ronen Basri and David W. Jacobs and Yoni Kasten and Shira Kritchman},
  year = {2019},
  url = {http://papers.nips.cc/paper/8723-the-convergence-rate-of-neural-networks-for-learned-functions-of-different-frequencies},
  researchr = {https://researchr.org/publication/BasriJKK19},
  cites = {0},
  citedby = {0},
  pages = {4763-4772},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}