Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods

21 October 2019

Eyke Hüllermeier

Papers citing "Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods"

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Title
A Review of Uncertainty for Deep Reinforcement Learning Owen Lockwood Mei Si 4 38 0 18 Aug 2022
A Case for Rejection in Low Resource ML Deployment J. White Pulkit Madaan Nikhil Shenoy Apoorv Agnihotri Makkunda Sharma Jigar Doshi OffRL 8 3 0 12 Aug 2022
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR) Matthew Malencia Sandeep Manjanna M. A. Hsieh George Pappas Vijay R. Kumar 17 8 0 11 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 30 7 0 05 Aug 2022
Credal Valuation Networks for Machine Reasoning Under Uncertainty B. Ristic A. Benavoli S. Arulampalam 9 3 0 04 Aug 2022
Compound Density Networks for Risk Prediction using Electronic Health Records Yuxi Liu S. Qin Zhenhao Zhang Wei Shao BDL 21 9 0 02 Aug 2022
Gradient-descent quantum process tomography by learning Kraus operators Shahnawaz Ahmed Fernando Quijandría A. F. Kockum 14 21 0 01 Aug 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control T. Kanazawa Haiyan Wang Chetan Gupta UQCV 22 4 0 27 Jul 2022
Towards Clear Expectations for Uncertainty Estimation Victor Bouvier Simona Maggio A. Abraham L. Dreyfus-Schmidt UQCV 28 1 0 27 Jul 2022
Regret Minimization with Noisy Observations Mohammad Mahdian Jieming Mao Kangning Wang 18 1 0 19 Jul 2022
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance Shervin Ardeshir Navid Azizan SSL UQCV 28 9 0 19 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 34 3 0 17 Jul 2022
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection Guoxuan Xia C. Bouganis UQCV 11 14 0 15 Jul 2022
Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay! F. Farias Teresa B Ludermir C. B. Filho 14 1 0 14 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 24 4 0 11 Jul 2022
$Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1ρ}$ Mapping with Relaxation Constraint$ Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1ρ}$ Mapping with Relaxation Constraint Chaoxing Huang Yurui Qian S. Yu Jian Hou B. Jiang Queenie Chan V. Wong Winnie Chiu Wing Chu Weitian Chen 31 7 0 07 Jul 2022
Improved conformalized quantile regression Martim Sousa Ana Maria Tomé José Manuel Moreira 34 6 0 06 Jul 2022
Variational Neural Networks Illia Oleksiienko D. Tran Alexandros Iosifidis BDL UQCV 31 8 0 04 Jul 2022
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles Weitao Zhou Zhong Cao Yunkang Xu Nanshan Deng Xiaoyu Liu Kun Jiang Diange Yang 20 23 0 02 Jul 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 8 15 0 01 Jul 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 29 10 0 17 Jun 2022
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints Mahmoud Shoush Marlon Dumas 32 12 0 15 Jun 2022
Epistemic Deep Learning Shireen Kudukkil Manchingal Fabio Cuzzolin UQCV BDL EDL FedML UD 11 6 0 15 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 19 17 0 13 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 26 25 0 12 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning Zhen Guo Zelin Wan Qisheng Zhang Xujiang Zhao F. Chen Jin-Hee Cho Qi Zhang Lance M. Kaplan Dong-Ho Jeong A. Jøsang UQCV EDL 17 10 0 12 Jun 2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models Ziyi Huang H. Lam Haofeng Zhang PER UD 22 5 0 09 Jun 2022
Excess risk analysis for epistemic uncertainty with application to variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama UQCV 23 1 0 02 Jun 2022
Robust Anytime Learning of Markov Decision Processes Marnix Suilen T. D. Simão David Parker N. Jansen 8 13 0 31 May 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 18 6 0 30 May 2022
Conformal Credal Self-Supervised Learning Julian Lienen Caglar Demir Eyke Hüllermeier 29 13 0 30 May 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees Jonathan Brophy Daniel Lowd 26 10 0 23 May 2022
On the Calibration of Probabilistic Classifier Sets Thomas Mortier Viktor Bengs Eyke Hüllermeier Stijn Luca Willem Waegeman UQCV 27 7 0 20 May 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 177 35 0 20 May 2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation Martin Ferianc Miguel R. D. Rodrigues UQCV 42 0 0 19 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 48 0 12 May 2022
Multifidelity data fusion in convolutional encoder/decoder networks Lauren Partin Gianluca Geraci A. Rushdi M. Eldred Daniele E. Schiavazzi UQCV AI4CE 27 13 0 10 May 2022
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques Marco Pegoraro 14 5 0 10 May 2022
Application of belief functions to medical image segmentation: A review Ling Huang S. Ruan Thierry Denoeux EDL MedIm 27 30 0 03 May 2022
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles Patrick Musau Nathaniel P. Hamilton Diego Manzanas Lopez Preston K. Robinette Taylor T. Johnson 18 0 0 03 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 30 6 0 02 May 2022
Tailored Uncertainty Estimation for Deep Learning Systems Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel UQCV 29 1 0 29 Apr 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 38 9 0 22 Apr 2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement Matias Valdenegro-Toro Daniel Saromo UD PER BDL UQCV 14 76 0 20 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting Tanwi Mallick Prasanna Balaprakash Jane Macfarlane BDL 25 11 0 04 Apr 2022
Distributional Gradient Boosting Machines Alexander März Thomas Kneib AI4CE 13 7 0 02 Apr 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark J. F. Gales UQCV 14 11 0 15 Mar 2022
Uncertainty Estimation for Language Reward Models Adam Gleave G. Irving UQLM 29 31 0 14 Mar 2022
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity Kacper Sokol Meelis Kull J. Chan Flora D. Salim 17 6 0 14 Mar 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 24 36 0 11 Mar 2022