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Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data.

, , , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 130-140. PMLR, (2023)

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Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data., , , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 130-140. PMLR, (2023)PAC-Bayesian Generalization Bounds for Adversarial Generative Models., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 24271-24290. PMLR, (2023)Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory., , and . CoRR, (2023)Behavioural equivalences for continuous-time Markov processes., , and . Math. Struct. Comput. Sci., 33 (4-5): 222-258 (2023)Bicategories of Markov Processes., , and . Models, Algorithms, Logics and Tools, volume 10460 of Lecture Notes in Computer Science, page 112-124. Springer, (2017)Presenting a Category Modulo a Rewriting System., and . RTA, volume 36 of LIPIcs, page 89-105. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2015)Towards a Classification of Behavioural Equivalences in Continuous-time Markov Processes., , and . MFPS, volume 352 of Electronic Notes in Theoretical Computer Science, page 53-77. Elsevier, (2020)Bisimulation for Feller-Dynkin Processes., , and . MFPS, volume 347 of Electronic Notes in Theoretical Computer Science, page 45-63. Elsevier, (2019)