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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 · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 271: First International Conference on Probabilistic Numerics, 1-3 September 2025, EURECOM, Sophia Antipolis, France

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Editors: Motonobu Kanagawa, Jon Cockayne, Alexandra Gessner, Philipp Hennig

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Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature

; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:1-11

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Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements

Nicholas Krämer; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:12-24

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Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers

Dingling Yao, Filip Tronarp, Nathanael Bosch; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:25-34

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Fast Gaussian process regression for high dimensional functions with derivative information

Aleksei Sorokin, Pieterjan Robbe, Fred J Hickernell; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:35-49

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Natural Evolutionary Search meets Probabilistic Numerics

Pierre Osselin, Masaki Adachi, Xiaowen Dong, Michael A Osborne; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:50-74

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Randomised Postiterations for Calibrated BayesCG

Niall Vyas, Disha Hegde, Jon Cockayne; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:75-83

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A Dictionary of Closed-Form Kernel Mean Embeddings

Francois-Xavier Briol, Toni Karvonen, Alexandra Gessner, Maren Mahsereci; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:84-94

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Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems

Anne Poot, Iuri Rocha, Pierre Kerfriden, Frans van der Meer; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:95-102

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Learning to Solve Related Linear Systems

Disha Hegde, Jon Cockayne; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:103-121

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Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters

Wouter M. Kouw; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:122-130

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Solving Einstein’s equations as Bayesian inference

Frederik De Ceuster, Tom Colemont, Tjonnie G.F. Li; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:131-137

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Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading

Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone; Proceedings of the First International Conference on Probabilistic Numerics, PMLR 271:138-146

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