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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 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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