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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound., , , , , , and . NeurIPS, page 455-467. (2021)Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters., , , and . Neurocomputing, (2019)PAC-Bayes and domain adaptation., , , and . Neurocomputing, (2020)VideoSense at TRECVID 2011: Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking., , , , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2011)Metric Learning from Imbalanced Data with Generalization Guarantees., , , and . Pattern Recognit. Lett., (2020)Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting., , , , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 141-157. Springer, (2020)A General Framework for the Derandomization of PAC-Bayesian Bounds., , , and . CoRR, (2021)A PAC-Bayes Analysis of Adversarial Robustness., , , and . NeurIPS, page 14421-14433. (2021)Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting., , , , , and . CoRR, (2019)Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 768-776. PMLR, (2019)