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Second-Order Uncertainty Quantification: Variance-Based Measures., , , , and . CoRR, (2024)Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules., , and . CoRR, (2024)A Novel Bayes' Theorem for Upper Probabilities., , , and . Epi UAI, volume 14523 of Lecture Notes in Computer Science, page 1-12. Springer, (2024)Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration., , , , , , , , , and . CoRR, (2024)Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?, , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2282-2292. PMLR, (2023)Is the volume of a credal set a good measure for epistemic uncertainty?, , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1795-1804. PMLR, (2023)Conformal Prediction with Partially Labeled Data., , , and . COPA, volume 204 of Proceedings of Machine Learning Research, page 251-266. PMLR, (2023)A Novel Bayes' Theorem for Upper Probabilities., , , and . CoRR, (2023)Second-Order Uncertainty Quantification: A Distance-Based Approach., , , and . CoRR, (2023)Antimicrobial and Phytochemical Screening of Phyllantus Niruri. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 5 (5): 1411-1416 (August 2021)