From Conformal to Probabilistic Prediction. - Vladimir Vovk; Ivan Petej; Valentina Fedorova (AIAI (Workshops), 2014)

Venn-Abers Predictors. - Vladimir Vovk; Ivan Petej (UAI, 2014)

Large-scale probabilistic predictors with and without guarantees of validity. - Vladimir Vovk; Ivan Petej; Valentina Fedorova (NIPS, 2015)

Criteria of efficiency for set-valued classification. - Vladimir Vovk; Ilia Nouretdinov; Valentina Fedorova; Ivan Petej; Alex Gammerman (Ann. Math. Artif. Intell., 2017)

Small and large scale probabilistic classifiers with guarantees of validity. - Ivan Petej (2018)

Conformal calibrators. - Vladimir Vovk; Ivan Petej; Paolo Toccaceli; Alex Gammerman (CoRR, 2019)

Conformal calibrators. - Vladimir Vovk; Ivan Petej; Paolo Toccaceli; Alexander Gammerman; Ernst Ahlberg; Lars Carlsson (COPA, 2020)

Computationally efficient versions of conformal predictive distributions. - Vladimir Vovk; Ivan Petej; Ilia Nouretdinov; Valery Manokhin; Alexander Gammerman (Neurocomputing, 2020)

Supporting Complaints Investigation for Nursing and Midwifery Regulatory Agencies. - Piyawat Lertvittayakumjorn; Ivan Petej; Yang Gao; Yamuna Krishnamurthy; Anna Van Der Gaag; Robert Jago; Kostas Stathis (ACL (demo), 2021)

Protected probabilistic classification. - Vladimir Vovk; Ivan Petej; Alex Gammerman (COPA, 2021)

Retrain or not retrain: conformal test martingales for change-point detection. - Vladimir Vovk; Ivan Petej; Ilia Nouretdinov; Ernst Ahlberg; Lars Carlsson; Alex Gammerman (COPA, 2021)

Adaptive calibration for binary classification. - Vladimir Vovk; Ivan Petej; Alex Gammerman (CoRR, 2021)