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Proceedings of Machine Learning Research

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

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Volume 204: Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus

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Editors: Harris Papadopoulos, Khuong An Nguyen, Henrik Boström, Lars Carlsson

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Preface

; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:1-4

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Conformal Regression in Calorie Prediction for Team Jumbo-Visma

Kristian van Kuijk, Mark Dirksen, Christof Seiler; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:5-15

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Applying the conformal prediction paradigm for the uncertainty quantification of an end-to-end automatic speech recognition model (wav2vec 2.0)

Fares Ernez, Alexandre Arnold, Audrey Galametz, Catherine Kobus, Nawal Ould-Amer; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:16-35

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Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling

Leo Andeol, Thomas Fel, Florence de Grancey, Luca Mossina; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:36-55

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Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors

Rahul Vishwakarma, Jinha Hwang, Soundouss Messoudi, Ava Hedayatipour; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:56-73

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An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer

Alberto Garcia-Galindo, Marcos Lopez-De-Castro, Ruben Armananzas; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:74-88

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Market Implied Conformal Volatility Intervals

Alejandro Canete; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:89-99

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Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting

Simon Althoff, Johan Hallberg Szabadv’ary, Jonathan Anderson, Lars Carlsson; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:100-115

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Evaluating potential sensitive information leaks on a smartphone using the magnetometer and Conformal Prediction

Robert Choudhury, Zhiyuan Luo, Khuong An Nguyen; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:116-133

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Neural Networks based Conformal Prediction for Pipeline Structural Response

Sara El Mekkaoui, Carla J Ferreira, Juan Camilo Guevara G’omez, Christian Agrell, Nicholas James Vaughan, Hans Olav Heggen; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:134-146

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Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE

Nasir Uddin, Tuwe Lofstrom; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:147-165

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Online NoVaS Conformal Volatility Prediction

Alejandro Canete; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:166-168

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Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes

Tien Dung Pham, Uwe Aickelin, Robert Bassett; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:169-171

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Variable Sparing of Disk Drives Based on Failure Analysis

Rahul Vishwakarma, Mahshid Fardadi, Bing Liu; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:172-174

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Recommendation Systems with Distribution-Free Reliability Guarantees

Anastasios N Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I Jordan; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:175-193

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Data-driven Reachability using Christoffel Functions and Conformal Prediction

Abdelmouaiz Tebjou, Goran Frehse, Fa"icel Chamroukhi; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:194-213

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Conformal Credal Self-Supervised Learning

Julian Lienen, Caglar Demir, Eyke Hüllermeier; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:214-233

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Self Learning using Venn-Abers predictors

Come Rodriguez, Vitor Martin Bordini, Sebastien Destercke, Benjamin Quost; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:234-250

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Conformal Prediction with Partially Labeled Data

Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:251-266

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Conformal Association Rule Mining (CARM): A novel technique for data error detection and probabilistic correction

Ilia Nouretdinov, James Gammerman; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:267-286

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Anomalous Edge Detection in Edge Exchangeable Social Network Models

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:287-310

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Conformalized Adversarial Attack Detection for Graph Neural Networks

Sofiane Ennadir, Amr Alkhatib, Henrik Bostrom, Michalis Vazirgiannis; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:311-323

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Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions

Drew Prinster, Suchi Saria, Anqi Liu; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:324-327

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A Conformal Martingales Ensemble Approach for addressing Concept Drift

Charalambos Eliades, Harris Papadopoulos; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:328-346

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The power of forgetting in statistical hypothesis testing

Vladimir Vovk; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:347-366

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The Venn-ABERS Testing for Change-Point Detection

Ilia Nouretdinov, Alex Gammerman; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:367-368

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A Review of Nonconformity Measures for Conformal Prediction in Regression

Yuko Kato, David M.J. Tax, Marco Loog; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:369-383

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On training locally adaptive CP

Nicolo Colombo; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:384-398

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Mondrian Predictive Systems for Censored Data

Henrik Bostrom, Henrik Linusson, Anders Vesterberg; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:399-412

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Evaluating Machine Translation Quality with Conformal Predictive Distributions

Patrizio Giovannotti; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:413-429

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Online aggregation of conformal predictive systems

Vladimir G. Trunov, Vladimir V. V’yugin; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:430-449

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Approximating Score-based Explanation Techniques Using Conformal Regression

Amr Alkhatib, Henrik Bostrom, Sofiane Ennadir, Ulf Johansson; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:450-469

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Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning

Niharika Gauraha, Henrik Bostrom; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:470-484

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CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence

Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:485-487

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Multi-label Classification under Uncertainty: A Tree-based Conformal Prediction Approach

Chhavi Tyagi, Wenge Guo; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:488-512

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Confidence Classifiers with Guaranteed Accuracy or Precision

Ulf Johansson, Cecilia Sonstrod, Tuwe Lofstrom, Henrik Bostrom; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:513-533

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Coverage vs Acceptance-Error Curves for Conformal Classification Models

Evgueni Smirnov; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:534-545

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How do the performance of a Conformal Predictor and its underlying algorithm relate?

Giovanni Cherubin; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:546-548

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Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library

Thibault Cordier, Vincent Blot, Louis Lacombe, Thomas Morzadec, Arnaud Capitaine, Nicolas Brunel; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:549-581

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PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization

Mouhcine Mendil, Luca Mossina, David Vigouroux; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:582-601

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Tutorial on using Conformal Predictive Systems in KNIME

Tuwe Lofstrom, Alexander Bondaletov, Artem Ryasik, Henrik Bostrom, Ulf Johansson; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:602-620

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Recommendation Systems in Scholarly Publishing

Yannis Manolopoulos; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:621-623

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Conformal Prediction is Robust to Dispersive Label Noise

Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano; Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 204:624-626

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