Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise

5 June 2024

Mihaela van der Schaar

Papers citing "Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise"

6 / 6 papers shown

Title
Introducing Interval Neural Networks for Uncertainty-Aware System Identification Mehmet Ali Ferah Tufan Kumbasar 19 0 0 26 Apr 2025
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 47 53 0 16 Sep 2022
Deep Non-Crossing Quantiles through the Partial Derivative Axel Brando J. Gimeno Jose A. Rodríguez-Serrano Jordi Vitrià 38 13 0 30 Jan 2022
Conformal Prediction using Conditional Histograms Matteo Sesia Yaniv Romano 55 66 0 18 May 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 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