Estimating Uncertainty Intervals from Collaborating Networks

Estimating Uncertainty Intervals from Collaborating Networks

12 February 2020

Papers citing "Estimating Uncertainty Intervals from Collaborating Networks"

13 / 13 papers shown

Title
Large width penalization for neural network-based prediction interval estimation Worachit Amnuaypongsa Jitkomut Songsiri 59 0 0 28 Nov 2024
Calibrated Multivariate Regression with Localized PIT Mappings Lucas Kock G. S. Rodrigues Scott A. Sisson Nadja Klein David J. Nott 24 0 0 17 Sep 2024
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Erdun Gao Bin Gu Tongliang Liu Kun Zhang 27 1 0 09 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression V. Dheur Souhaib Ben Taieb BDL 35 13 0 05 Jun 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 26 1 0 21 Feb 2023
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 26 0 0 24 Dec 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification Xing Yan Yonghua Su Wenxuan Ma UQCV 44 1 0 26 Nov 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 35 22 0 14 Jul 2022
Estimating Potential Outcome Distributions with Collaborating Causal Networks Tianhui Zhou William E Carson IV David Carlson CML 36 6 0 04 Oct 2021
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV DRL 8 5 0 18 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 219 1,897 0 06 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015