Deep Neural Networks for Estimation and Inference
Work
Year: 2021
Type: article
Abstract: We study deep neural networks and their use in semiparametric inference. We establish novel nonasymptotic high probability bounds for deep feedforward neural nets. These deliver rates of convergence t... more
Source: Econometrica
Institution University of Chicago
Cites: 104
Cited by: 267
Related to: 10
FWCI: 34.3
Citation percentile (by year/subfield): 99.98
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze