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Proceedings of Machine Learning Research

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

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Volume 179: Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK

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Editors: Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo, Lars Carlsson

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Preface

; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:1-3

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Tutorial for using conformal prediction in KNIME

Tuwe Löfström, Artem Ryasik, Ulf Johansson; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:4-23

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crepes: a Python Package for Generating Conformal Regressors and Predictive Systems

Henrik Boström; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:24-41

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Assessing Explanation Quality by Venn Prediction

Amr Alkhatib, Henrik Boström, Ulf Johansson; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:42-54

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Calibration of Natural Language Understanding Models with Venn–ABERS Predictors

Patrizio Giovannotti; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:55-71

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Well-Calibrated Rule Extractors

Ulf Johansson, Tuwe Löfström, Niclas Ståhl; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:72-91

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Conformal prediction of small-molecule drug resistance in cancer cell lines

Saiveth Hernández-Hernández, Sachin Vishwakarma, Pedro Ballester; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:92-108

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Uncertainty Estimation for Single-cell Label Transfer

Robin Khatri, Stefan Bonn; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:109-128

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Conformal prediction for hypersonic flight vehicle classification

Zepu Xi, Xuebin Zhuang, Hongbo Chen; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:118-206

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Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning

Alice E. Ashby, Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo, Werner Gentzke; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:129-148

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Online Portfolio Hedging with the Weak Aggregating Algorithm

Najim Al-Baghdadi, Yuri Kalnishkan, David Lindsay, Siân Lindsay; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:149-168

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Robust Gas Demand Forecasting With Conformal Prediction

Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:169-187

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Conformal testing: binary case with Markov alternatives

Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:207-218

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A Betting Function for addressing Concept Drift with Conformal Martingales

Charalambos Eliades, Harris Papadopoulos; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:219-238

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On efficiency of Learning Under Privileged Information

Ilia Nouretdinov; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:239-252

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Tensor-Train Kernel Learning for Gaussian Processes

Max Kirstein, David Sommer, Martin Eigel; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:253-272

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Pruning neural networks for inductive conformal prediction

Xindi Zhao, Anthony Bellotti; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:273-293

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Ellipsoidal conformal inference for Multi-Target Regression

Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:294-306

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Prediction of Energy Consumption with Inductive Venn-Abers Predictive Distribution

Ilia Nouretdinov, James Gammerman; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:307-309

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Communication-efficient Conformal Prediction for Distributed Datasets

Nery Riquelme-Granada, Zhiyuan Luo, Khuong An Nguyen; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:310-312

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House Price Prediction with Confidence: Empirical Results from the Norwegian Market

Anders Hjort; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:313-315

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Conformal Multistep-Ahead Multivariate Time-Series Forecasting

Filip Schlembach, Evgueni Smirnov, Irena Koprinska; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:316-318

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Conformal Decision Rules

Husam Abdelqader, Evgueni Smirnov, Marc Pont, Marciano Geijselaers; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:319-321

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Uncertain data in learning: challenges and opportunities

Sébastien Destercke; Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 179:322-332

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