Preface

Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Harris Papadopoulos; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:1-2

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Online Aggregation of Unbounded Signed Losses Using Shifting Experts

Vladimir V. V’yugin; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:3-17

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Asymptotic Properties of Nonparametric Estimation on Manifold

Yury Yanovich; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:18-38

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Combination of Conformal Predictors for Classification

Paolo Toccaceli, Alexander Gammerman; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:39-61

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Conformal Prediction for Automatic Face Recognition

Charalambos Eliades, Harris Papadopoulos; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:62-81

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Nonparametric predictive distributions based on conformal prediction

Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:82-102

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Maximizing Gain in HTS Screening Using Conformal Prediction

Ulf Norinder, Fredrik Svensson, Avid M. Afzal, Andreas Bender; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:103-117

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Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors

Staffan Arvidsson, Ola Spjuth, Lars Carlsson, Paolo Toccaceli; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:118-131

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Inductive Conformal Martingales for Change-Point Detection

Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:132-153

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On the Calibration of Aggregated Conformal Predictors

Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:154-173

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Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery

Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:174-184

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Reverse Conformal Approach for On-line Experimental Design

Ilia Nouretdinov; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:185-192

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Improving Reliable Probabilistic Prediction by Using Additional Knowledge

Ilia Nouretdinov; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:193-200

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Comparing Performance of Different Inductive and Transductive Conformal Predictors Relevant to Drug Discovery

Lars Carlsson, Claus Bendtsen, Ernst Ahlberg; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:201-212

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Conformal $k$-NN Anomaly Detector for Univariate Data Streams

Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:213-227

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Multi-class probabilistic classification using inductive and cross Venn–Abers predictors

Valery Manokhin; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:228-240

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SCOT Approximation, Training and Asymptotic Inference

Mikhail Malyutov, Paul Grosu; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:241-265

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CP-RA$k$EL: Improving Random $k$-labelsets with Conformal Prediction for Multi-label Classification

Fan Yang, Xiaolu Gan, Huazhen Wang, Lei Feng, Yongxuan Lai; Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 60:266-279

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