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

Vladimir Vapnik, Rauf Izmailov; 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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