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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 128: Conformal and Probabilistic Prediction and Applications, 9-11 September 2020,

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Editors: Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov, Giovanni Cherubin

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Preface

Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov, Giovanni Cherubin, Marco Christini; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:1-3

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Complete statistical theory of learning: learning using statistical invariants

; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:4-40

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Constructing normalized nonconformity measures based on maximizing predictive efficiency

Anthony Bellotti; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:41-54

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Training conformal predictors

Nicolo Colombo, Vladimir Vovk; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:55-64

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Conformal multi-target regression using neural networks

Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:65-83

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Conformal calibrators

Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:84-99

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A histogram based betting function for conformal martingales

Charalambos Eliades, Harris Papadopoulos; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:100-113

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Mondrian conformal regressors

Henrik Boström, Ulf Johansson; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:114-133

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Evaluating different approaches to calibrating conformal predictive systems

Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström.; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:134-150

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Conformal anomaly detection for visual reconstruction using gestalt principles

Ilia Nouretdinov, Alexander Balinsky, Alexander Gammerman; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:151-170

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Mixing past predictions

Alexander Korotin, Vladimir V’yugin, Evgeny Burnaev; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:171-188

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Fast probabilistic prediction for kernel SVM via enclosing balls

Nery Riquelme-Granada, Khuong An Nguyen, Zhiyuan Luo; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:189-208

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Practical investment with the long-short game

Najim Al-Baghdadi, David Lindsay, Yuri Kalnishkan, Sian Lindsay; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:209-228

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Batch mode active learning for mitotic phenotypes using conformal prediction

Adam Corrigan, Philip Hopcroft, Ana Narvaez, Claus Bendtsen; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:229-243

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A conformalized density-based clustering analysis of malicious traffic for botnet detection

Bahareh Mohammadi Kiani; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:244-256

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Classication of aerosol particles using inductive conformal prediction

Linn Karlsson, Henrik Boström, Paul Zieger; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:257-268

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BERT-based conformal predictor for sentiment analysis

Lysimachos Maltoudoglou, Andreas Paisios, Harris Papadopoulos; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:269-284

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Application of conformal prediction interval estimations to market makers’ net positions

Wojciech Wisniewski, David Lindsay, Sian Lindsay; Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 128:285-301

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