Valid prediction intervals for regression problems

1 July 2021

Papers citing "Valid prediction intervals for regression problems"

20 / 20 papers shown

Title
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions Farhad Pourkamali-Anaraki OOD UQCV 56 0 0 16 Mar 2025
Probabilistic Reasoning with LLMs for k-anonymity Estimation Jonathan Zheng Sauvik Das Alan Ritter Wei Xu 62 0 0 12 Mar 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach Mathieu Cocheteux Julien Moreau Franck Davoine 51 1 0 12 Jan 2025
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 44 0 0 04 Oct 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 58 3 0 05 Jun 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu Su Feng Boris Glavic Babak Salimi 39 0 0 28 May 2024
Regression Trees for Fast and Adaptive Prediction Intervals Luben M. C. Cabezas Mateus P. Otto Rafael Izbicki R. Stern 34 4 0 12 Feb 2024
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 48 0 0 21 Nov 2023
Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-based Winter Road Surface Condition Monitoring Risto Ojala Alvari Seppänen 24 7 0 02 Oct 2023
Conditional validity of heteroskedastic conformal regression Nicolas Dewolf B. De Baets Willem Waegeman 13 1 0 15 Sep 2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty Anshul Nayak A. Eskandarian Zachary R. Doerzaph P. Ghorai 37 4 0 26 May 2023
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation Alireza Javanmardi Eyke Hüllermeier 29 6 0 30 Dec 2022
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting Martim Sousa Ana Maria Tomé José Manuel Moreira AI4TS 19 1 0 28 Jul 2022
Improved conformalized quantile regression Martim Sousa Ana Maria Tomé José Manuel Moreira 38 6 0 06 Jul 2022
On the Calibration of Probabilistic Classifier Sets Thomas Mortier Viktor Bengs Eyke Hüllermeier Stijn Luca Willem Waegeman UQCV 35 7 0 20 May 2022
Multivariate Prediction Intervals for Random Forests Brendan Folie Maxwell Hutchinson 398 0 0 04 May 2022
How to Evaluate Uncertainty Estimates in Machine Learning for Regression? Laurens Sluijterman Eric Cator Tom Heskes UQCV 39 21 0 07 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
Cross-conformal predictors V. Vovk 131 198 0 03 Aug 2012