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Found 3 papers, 2 papers with code
A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification
We validate the recently introduced deep learning classification adapted Delta method by a comparison with the classical Bootstrap.
Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta Method
We propose a low cost variant of the Delta method applicable to $L_2$-regularized deep neural networks based on the top $K$ eigenpairs of the Fisher information matrix.
Efficient Computation of Hessian Matrices in TensorFlow
The Hessian matrix has a number of important applications in a variety of different fields, such as optimzation, image processing and statistics.
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