Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model

Yiwei Shen, Pierre C. Bellec. Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{ShenB20-0,
  title = {Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model},
  author = {Yiwei Shen and Pierre C. Bellec},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/d87ca511e2a8593c8039ef732f5bffed-Abstract.html},
  researchr = {https://researchr.org/publication/ShenB20-0},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}