Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods

7 October 2022

Papers citing "Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods"

5 / 5 papers shown

Title
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty Kaizhao Liu Jose H. Blanchet Lexing Ying Yiping Lu 25 0 0 29 Apr 2024
Exact and Approximate Conformal Inference for Multi-Output Regression Chancellor Johnstone Eugene Ndiaye 32 1 0 31 Oct 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,549 0 17 Apr 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015
Cross-conformal predictors V. Vovk 115 196 0 03 Aug 2012