A review of predictive uncertainty estimation with machine learning

17 September 2022

Papers citing "A review of predictive uncertainty estimation with machine learning"

15 / 15 papers shown

Title
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving Ziliang Xiong Shipeng Liu Nathaniel Helgesen Joakim Johnander Per-Erik Forssén 59 0 0 10 Mar 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 43 0 0 10 Feb 2025
Quantile deep learning models for multi-step ahead time series prediction Jimmy Cheung Smruthi Rangarajan Amelia Maddocks Xizhe Chen Rohitash Chandra AI4TS 62 1 0 24 Nov 2024
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting Vincent Zhihao Zheng Lijun Sun AI4TS 35 1 0 11 Oct 2024
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks Rouhollah Ahmadian Mehdi Ghatee Johan Wahlström 23 2 0 25 Jul 2024
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 35 0 0 30 May 2024
Personalised dynamic super learning: an application in predicting hemodiafiltration's convection volumes Arthur Chatton Michele Bally Renée Lévesque Ivana Malenica Robert W. Platt M. Schnitzer OOD 8 1 0 12 Oct 2023
Ensemble learning for blending gridded satellite and gauge-measured precipitation data Georgia Papacharalampous Hristos Tyralis N. Doulamis Anastasios Doulamis 22 8 0 09 Jul 2023
Deep Huber quantile regression networks Hristos Tyralis Georgia Papacharalampous N. Dogulu Kwok-Pan Chun UQCV 34 1 0 17 Jun 2023
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles Hristos Tyralis Georgia Papacharalampous N. Doulamis Anastasios Doulamis 21 7 0 02 Feb 2023
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 49 11 0 31 Dec 2022
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 13 15 0 17 Dec 2022
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 38 12 0 15 Oct 2021
CRPS Learning Jonathan Berrisch F. Ziel 40 25 0 01 Feb 2021
An SVM-like Approach for Expectile Regression M. Farooq Ingo Steinwart VLM 32 39 0 14 Jul 2015