Volume 105: Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria

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Editors: Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov

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Preface

Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov ; PMLR 105:1-2

Interpretable and specialized conformal predictors

Ulf Johansson, Tuwe Löfström, Henrik Boström, Cecilia Sönströd ; PMLR 105:3-22

Ensembles based on conformal instance transfer

Shuang Zhou, Evgueni Smirnov, Gijs Schoenmakers ; PMLR 105:23-42

Split knowledge transfer in learning under privileged information framework

Niharika Gauraha, Fabian Söderdahl, Ola Spjuth ; PMLR 105:43-52

Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets

Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha ; PMLR 105:53-65

Conformal predictor combination using Neyman–Pearson Lemma

Paolo Toccaceli ; PMLR 105:66-88

Test statistics and p-values

Yuri Gurevich, Vladimir Vovk ; PMLR 105:89-104

Universally Consistent Conformal Predictive Distributions

Vladimir Vovk ; PMLR 105:105-122

Predicting with Confidence from Survival Data

Henrik Boström, Ulf Johansson, Anders Vesterberg ; PMLR 105:123-141

Coreset-based Conformal Prediction for Large-scale Learning

Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo ; PMLR 105:142-162

Online Learning with Continuous Ranked Probability Score

Vladimir V. V’yugin, Vladimir G. Trunov ; PMLR 105:163-177

Competitive Online Regression under Continuous Ranked Probability Score

Raisa Dzhamtyrova, Yuri Kalnishkan ; PMLR 105:178-195

Conformal Prediction for Students’ Grades in a Course Recommender System

Raphaël Morsomme, Evgueni Smirnov ; PMLR 105:196-213

Applying Conformal Prediction to Control an Exoskeleton

Charalambos Eliades, Harris Papadopoulos ; PMLR 105:214-227

A Deep Neural Network Conformal Predictor for Multi-label Text Classification

Andreas Paisios, Ladislav Lenc, Jiřı́ Martı́nek, Pavel Král, Harris Papadopoulos ; PMLR 105:228-245

Abstracts of invited talks and posters

Alexander Balinsky, Peter McCullagh, Ilia Nouretdinov, Matteo Fontana, James Gammerman, Laura Shelmit, Daljit Rehal, Patrizio Giovannotti ; PMLR 105:246-247

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