Deep Distribution Regression

14 March 2019

Papers citing "Deep Distribution Regression"

8 / 8 papers shown

Title
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 46 0 0 30 May 2024
Stone's theorem for distributional regression in Wasserstein distance Clément Dombry Thibault Modeste Romain Pic 21 4 0 02 Feb 2023
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 64 44 0 17 Sep 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 32 28 0 17 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 43 2 0 12 Jun 2022
Multivariate Probabilistic Regression with Natural Gradient Boosting Michael O’Malley A. Sykulski R. Lumpkin Alejandro Schuler BDL 30 7 0 07 Jun 2021
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction Wanfang Chen Yuxiao Li Brian J. Reich Ying Sun 26 30 0 23 Jul 2020
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 37 14 0 26 Aug 2019