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PAC-Bayesian Theory for Transductive Learning.

, , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 105-113. JMLR.org, (2014)

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Domain-Adversarial Neural Networks., , , , and . CoRR, (2014)A PAC-Bayes Sample-compression Approach to Kernel Methods., , , , and . ICML, page 297-304. Omnipress, (2011)Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm., , , , and . J. Mach. Learn. Res., (2015)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 Greedy Algorithm for Building Compact Binary Activated Neural Networks., and . CoRR, (2022)Invariant Causal Set Covering Machines., , , , and . CoRR, (2023)PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations., , , , and . Canadian AI, Canadian Artificial Intelligence Association, (2023)A PAC-Bayes Risk Bound for General Loss Functions., , , and . NIPS, page 449-456. MIT Press, (2006)A General Framework for the Derandomization of PAC-Bayesian Bounds., , , and . CoRR, (2021)PAC-Bayesian Contrastive Unsupervised Representation Learning., , and . CoRR, (2019)