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
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model Lingfeng Shen Haiyun Jiang Lemao Liu Shuming Shi 21 2 0 04 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 16 6 0 01 Jun 2023
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Anthony Bardou Patrick Thiran Thomas Begin 16 4 0 31 May 2023
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models Zhen Lin Shubhendu Trivedi Jimeng Sun HILM 21 129 0 30 May 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 42 11 0 24 May 2023
Sampling-based Uncertainty Estimation for an Instance Segmentation Network Florian Heidecker A. El-khateeb Bernhard Sick UQCV 19 1 0 24 May 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A. Venkataramanan Assia Benbihi Martin Laviale C´edric Pradalier UQCV 29 6 0 23 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 6 0 23 May 2023
Unsupervised Anomaly Detection with Rejection Lorenzo Perini Jesse Davis 37 7 0 22 May 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability Mario Giulianelli Joris Baan Wilker Aziz Raquel Fernández Barbara Plank UQLM 35 30 0 19 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 25 4 0 17 May 2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties Yassir Fathullah Guoxuan Xia Mark J. F. Gales UQCV 27 2 0 17 May 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 29 2 0 15 May 2023
Calibration-Aware Bayesian Learning Jiayi Huang Sangwoo Park Osvaldo Simeone BDL UQCV 20 3 0 12 May 2023
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving Weitao Zhou Zhong Cao Nanshan Deng Kun Jiang Diange Yang OffRL 14 12 0 12 May 2023
Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces Jonas Busk Mikkel N. Schmidt Ole Winther T. Vegge Peter Bjørn Jørgensen 11 9 0 10 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 30 75 0 07 May 2023
Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement Quan Ze Chen Amy X. Zhang 32 7 0 02 May 2023
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty A. Houston Georgina Cosma 23 1 0 20 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 42 11 0 07 Apr 2023
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry J. G. Wiese Lisa Wimmer Theodore Papamarkou Bernd Bischl Stephan Günnemann David Rügamer 24 11 0 06 Apr 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 25 9 0 05 Apr 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 21 56 0 30 Mar 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation Wei Wei Jiahuan Zhou Hongze Li Yingying Wu 16 1 0 29 Mar 2023
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning Alex Beeson Giovanni Montana OffRL 24 13 0 26 Mar 2023
Human Uncertainty in Concept-Based AI Systems Katherine M. Collins Matthew Barker M. Zarlenga Naveen Raman Umang Bhatt M. Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham 66 39 0 22 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 32 124 0 18 Mar 2023
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates M. Eggen A. Midtfjord 13 2 0 14 Mar 2023
Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts P. Pernot 11 6 0 13 Mar 2023
Decision-Making Under Uncertainty: Beyond Probabilities Thom S. Badings T. D. Simão Marnix Suilen N. Jansen UD PER 31 12 0 10 Mar 2023
Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing Dvij Kalaria Qin Lin John M. Dolan 37 4 0 03 Mar 2023
Multi-Head Multi-Loss Model Calibration Adrian Galdran Johan W. Verjans G. Carneiro M. A. G. Ballester UQCV 10 7 0 02 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 19 18 0 26 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 22 1 0 23 Feb 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
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 27 13 0 20 Feb 2023
Credal Bayesian Deep Learning Michele Caprio Souradeep Dutta Kuk Jin Jang Vivian Lin Radoslav Ivanov O. Sokolsky Insup Lee OOD BDL UQCV 31 18 0 19 Feb 2023
Approximately Bayes-Optimal Pseudo Label Selection Julian Rodemann Jann Goschenhofer Emilio Dorigatti T. Nagler Thomas Augustin 19 8 0 17 Feb 2023
Probabilistic Circuits That Know What They Don't Know Fabrizio G. Ventola Steven Braun Zhongjie Yu Martin Mundt Kristian Kersting UQCV TPM 32 7 0 13 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 38 2 0 08 Feb 2023
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks Emanuele Ledda Giorgio Fumera Fabio Roli BDL UQCV 32 14 0 06 Feb 2023
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification Cameron J Gruich Varun Madhavan Yixin Wang B. Goldsmith 23 10 0 06 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning Aurelio Amerio A. Cuoco N. Fornengo 27 4 0 03 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling Lucas Berry D. Meger 10 6 0 02 Feb 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV 204 25 0 30 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 19 9 0 27 Jan 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification Zi Lin J. Liu Jingbo Shang UQLM 22 5 0 26 Jan 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 21 186 0 19 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 19 4 0 14 Jan 2023