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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 152: Conformal and Probabilistic Prediction and Applications, 8-10 September 2021, Virtual

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Editors: Lars Carlsson, Zhiyuan Luo, Giovanni Cherubin, Khuong An Nguyen

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Preface

; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:1-3

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Approximation to object conditional validity with inductive conformal predictors

Anthony Bellotti; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:4-23

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Mondrian conformal predictive distributions

Henrik Boström, Ulf Johansson, Tuwe Löfström; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:24-38

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A lower bound for a prediction algorithm under the Kullback-Leibler game

Raisa Dzhamtyrova, Yuri Kalnishkan; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:39-51

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Shapley-value based inductive conformal prediction

William Lopez Jaramillo, Evgueni Smirnov; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:52-71

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Conformal uncertainty sets for robust optimization

Chancellor Johnstone, Bruce Cox; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:72-90

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Synergy conformal prediction

Niharika Gauraha, Ola Spjuth; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:91-110

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Calibrating multi-class models

Ulf Johansson, Tuwe Löfström, Henrik Boström; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:111-130

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Conformal testing in a binary model situation

Vladimir Vovk; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:131-150

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Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study

Marharyta Aleksandrova, Oleg Chertov; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:151-170

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Using inductive conformal martingales for addressing concept drift in data stream classification

Charalambos Eliades, Harris Papadopoulos; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:171-190

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Retrain or not retrain: conformal test martingales for change-point detection

Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:191-210

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Class-wise confidence for debt prediction in real estate management: discussion and lessons learned from an application

Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:211-228

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Evaluation of updating strategies for conformal predictive systems in the presence of extreme events

Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:229-242

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Transformer-based conformal predictors for paraphrase detection

Patrizio Giovannotti, Alex Gammerman; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:243-265

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A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database

Christos Chatzichristos, Jose-Felipe Golib-Dzib, Andries Clinckaert, Wouter Everaerts, Maarten De Vos, Martine Lewi; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:266-285

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Conformal prediction and its integration within visual analytics toolbox

Tomaž Hočevar, Blaž Zupan; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:286-293

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Confidence machine learning for cutting tool life prediction

Nishant Wilson, Steve Barwick, Vince Booker, Tom Mildenhall, Laura Still, Yan Wang, Khuong An Nguyen; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:294-296

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Protected probabilistic classification

Vladimir Vovk, Ivan Petej, Alex Gammerman; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:297-299

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Conformal changepoint detection in continuous model situations

Ilia Nouretdinov, Vladimir Vovk, Alex Gammerman; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:300-302

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Fast conformal classification using influence functions

Umang Bhatt, Adrian Weller, Giovanni Cherubin; Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:303-305

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