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The idea to distinguish and quantify two important types of uncertainty, often referred to as aleatoric and epistemic, has received increasing attention in machine learning research in the last couple of years.
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R.V.L. Hartley · 1928
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A.N. Kolmogorov · 1965
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Probability Theory
A. Rényi · 1970
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I. Levi · 1974
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P. Walley · 1991
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Aleatory and epistemic uncertainty in probability elicitation with an example from hazardous waste management
S.C. Hora · 1996
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A non-specificity measure for convex sets of probability distributions
J. Abellan and S. Moral · 2000
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Additivity of uncertainty measures on credal sets
J. Abellan and J. Klir · 2005
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An introduction to the imprecise Dirichlet model for multinomial data
J.M. Bernardo · 2005
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Disaggregated total uncertainty measure for credal sets
J. Abellan, J. Klir, and S. Moral · 2006
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Bayesian convolutional neural networks with Bernoulli approximate variational inference
Y. Gal and Z. Ghahramani · 2016
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Analysis of dropout learning regarded as ensemble learning
K. Hara, D. Saitoh, and H. Shouno · 2016
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What uncertainties do we need in Bayesian deep learning for computer vision?
A. Kendall and Y. Gal · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
B. Lakshminarayanan, A. Pritzel, C. and Blundell · 2017
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DropConnect is effective in modeling uncertainty of Bayesian networks
A. Mobiny, H.V. Nguyen, S. Moulik, N. Garg, and C.C. Wu · 2017
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Axiomatic characterizations of information measures
I. Csiszár · 2008
Cited alongside, same era.
FR3: A fuzzy rule learner for inducing reliable classifiers
J. Hühn and E. Hüllermeier · 2009
Cited alongside, same era.
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and E. Hüllermeier · 2014
Cited alongside, same era.
S. Depeweg, J.M. Hernandez-Lobato, F. Doshi-Velez, and S. Udluft · 2018
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Deep k-nearest neighbors: Towards confident, interpretable and robust deep learning
N. Papernot and P. McDaniel · 2018
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A novel belief entropy for measuring uncertainty in Dempster-Shafer evidence theory framework based on plausibility transformation and weighted Hartley entropy
Q. Pan, D. Zhou, Y. Tang, X. Li, and J. Huang · 2019
Later among the works it cites.