Topic Assignment / Papers
Area 1: Foundations and Representations of Imprecise Probability
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Credal Learning Theory, NeurIPS 2024
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An introduction to the imprecise Dirichlet model for multinomial data, International Journal of Approximate Reasoning, 2005
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Imprecise Probabilities, The Stanford Encyclopedia of Philosophy, 2019
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Interpretations of Probability, The Stanford Encyclopedia of Philosophy, 2023
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Towards a strictly frequentist theory of imprecise probability, ISIPTA 2023
Area 2: Imprecise Classification and Regression
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Learning Sets of Probabilities Through Ensemble Methods, ECSQARU 2023
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Possibilistic Classification by Support Vector Networks, Neural Networks, 2022
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Neural Network Model for Imprecise Regression with Interval Dependent Variables, Neural Networks, 2023
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Possibilistic Instance-based Learning, Artificial Intelligence, 2003
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Reliable Classification: Learning Classifiers that Distinguish Aleatoric and Epistemic Uncertainty, Information Sciences, 2014
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Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty, IJCAI, 2018
Area 3: Conformal Prediction
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Conformalized Credal Set Predictors, NeurIPS, 2024
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A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification, ArXiv, 2022
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Conformal Prediction Regions are Imprecise Highest Density Regions, ArXiv, 2025
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Conformal Prediction with Partially Labeled Data, ArXiv 2023
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Learning Calibrated Belief Functions from Conformal Predictions, ISIPTA, 2023
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Validity, Consonant Plausibility Measures, and Conformal Prediction, International Journal of Approximate Reasoning, 2022
Area 4: Uncertainty Quantification
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Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods, Machine Learning, 2021
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Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? UAI, 2023
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Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation, NeurIPS 2022
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Uncertainty Measures: A Critical Survey, Information Fusion, 2024
Area 5: Imprecise Probabilistic Forecast and Calibration
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Evaluating Imprecise Forecasts, ISIPTA, 2023
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IP Scoring Rules: Foundations and Applications, ISIPTA, 2019
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On Second-Order Scoring Rules for Epistemic Uncertainty Quantification, ICML 2023
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Truthful Elicitation of Imprecise Forecasts, UAI, 2025
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On the Calibration of Probabilistic Classifier Sets, AISTATS, 2023
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Scoring Rules and Calibration for Imprecise Probabilities, ArXiv, 2024
Area 6: Decision-Making with Imprecise Probability
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Decision Making under Uncertainty using Imprecise Probabilities, International Journal of Approximate Reasoning, 2007
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Archimedean Choice Functions: An Axiomatic Foundation for Imprecise Decision Making, Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
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Risk Measures and Upper Probabilities: Coherence and Stratification, JMLR 2024
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Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences, ISIPTA 2017
Area 7: Imprecise Probability in Modern ML (Deep Learning, Foundation Models, LLM, GenAI)
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Credal Bayesian Deep Learning, TMLR, 2024
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Aleatoric and Epistemic Uncertainty with Random Forests, Advances in Intelligent Data Analysis, 2020
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Credal Self-Supervised Learning, NeurIPS, 2021
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Imprecise Bayesian optimization, Knowledge-Based Systems, 2024