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Learning to Validate the Predictions of Black Box Classifiers on Unseen Data.

, , and . SIGMOD Conference, page 1289-1299. ACM, (2020)

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Learning to Validate the Predictions of Black Box Classifiers on Unseen Data., , and . SIGMOD Conference, page 1289-1299. ACM, (2020)Logical factorisation machines: probabilistic Boolean factor models for binary data.. University of Oxford, UK, (2018)British Library, EThOS.Bayesian Boolean Matrix Factorisation., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2969-2978. PMLR, (2017)Variational Boosted Soft Trees., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 5787-5801. PMLR, (2023)Probabilistic Boolean Tensor Decomposition., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4410-4419. PMLR, (2018)Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data., , , , and . HILDA@SIGMOD, page 4:1-4:4. ACM, (2019)JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models., , and . EDBT, page 529-534. OpenProceedings.org, (2021)Unit Testing Data with Deequ., , , , , , , and . SIGMOD Conference, page 1993-1996. ACM, (2019)Differential Data Quality Verification on Partitioned Data., , , , , , , and . ICDE, page 1940-1945. IEEE, (2019)