204 citations · 636 across the 40 of their papers we have counts for
Showing 2023 · stat.MLShow all
2 papers · 2 filters
stat.ML2023★ 1 cited
Likelihood-ratio-based confidence intervals for neural networks
Laurens Sluijterman, Eric Cator, Tom Heskes
This paper introduces a first implementation of a novel likelihood-ratio-based approach for constructing confidence intervals for neural networks. Our method, called DeepLR, offers…
stat.ML2023★ 4 cited
Optimal Training of Mean Variance Estimation Neural Networks
Laurens Sluijterman, Eric Cator, Tom Heskes
This paper focusses on the optimal implementation of a Mean Variance Estimation network (MVE network) (Nix and Weigend, 1994). This type of network is often used as a building bloc…