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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-05-29 · via Proceedings of Machine Learning Research

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Volume 290: International Symposium on Imprecise Probabilities: Theories and Applications, 15-18 July 2025, Zentrum für interdisziplinäre Forschung, Bielefeld, Germany

[edit]

Editors: Sébastien Destercke, Alexander Erreygers, Max Nendel, Frank Riedel, Matthias C. M. Troffaes

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Filter Authors: Filter Titles:

The AI off-switch problem as a signalling game: bounded rationality and incomparability

; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:1-11

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Coherent rejection functions for arbitrary things

Kevin Blackwell; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:12-22

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D-separation for the strong extension and the main natural extension of a credal network

Andrey G. Bronevich, Igor N. Rozenberg; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:23-32

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Optimal transport for $ε$-contaminated credal sets

Michele Caprio; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:33-46

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Conformal prediction regions are imprecise highest density regions

Michele Caprio, Yusuf Sale, Eyke Hüllermeier; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:47-59

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Distribution-free possibilistic inference on conditional quantities

Leonardo Cella; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:60-70

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Credal discrete classifier

Wenlong Chen, Cyprien Gilet, Benjamin Quost, Sébastien Destercke; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:71-81

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Conditioning and AGM-like belief change in the Desirability-Indifference framework

Kathelijne Coussement, Gert de Cooman, Keano De Vos; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:82-92

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Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks

Fabio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis D. Mauá; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:93-102

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The marginal problem for sets of desirable gamble sets

Justyna Dąbrowska, Arthur Van Camp, Erik Quaeghebeur; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:103-114

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A convenient characterisation of convergent upper transition operators

Jasper De Bock, Alexander Erreygers, Floris Persiau; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:115-125

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Robustness quantification: a new method for assessing the reliability of the predictions of a classifier

Adrián Detavernier, Jasper De Bock; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:126-136

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Conditioning through indifference in quantum mechanics

Keano De Vos, Gert de Cooman; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:137-147

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Time-slice Bayesianism as a potential solution to the problem of dilation and reflection for imprecise probabilities

Marc Fischer; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:148-157

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Precise and imprecise Bayesianism applied to gas-solid reactions

Marc Fischer, Loı̈c Favergeon; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:158-168

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On the value of varied evidence for imprecise probabilities

Jürgen Landes, Sébastien Destercke; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:169-182

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Decision-theoretic properties of possibilistic inferential models

Ryan Martin; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:183-195

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On the closure of aggregation rules for imprecise probabilities

Enrique Miranda, Ignacio Montes; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:196-206

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Distorting lower probabilities using common distortion models

David Nieto-Barba, Ignacio Montes, Enrique Miranda; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:207-217

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Dynamic $α$-DS mixture pricing in a market with bid-ask spreads

Davide Petturiti, Barbara Vantaggi; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:218-230

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Towards conservative inference in credal networks using belief functions: the case of credal chains

Marco Sangalli, Thomas Krak, Cassio de Campos; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:231-241

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Elicitation for sets of probabilities and distributions

Mark J. Schervish, Teddy Seidenfeld, Ruobin Gong, Joseph B. Kadane, Rafael B. Stern; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:242-251

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Random walks on graphs with interval weights as a model of reversible imprecise Markov chains

Damjan Škulj; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:252-262

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Rank-based decision theory and conditional deontic logic

Wolfgang Spohn; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:263-272

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A robust Bayesian model to quantify and adjust for study quality and conflict of interest in meta-analyses

Matthias C. M. Troffaes, Lorenzo Casini, Jürgen Landes, Ullrika Sahlin; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:273-284

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Function-coherent gambles

Gregory Wheeler; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:285-295

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Function-coherent gambles with non-additive sequential dynamics

Gregory Wheeler; Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 290:296-306

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