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PAC-Bayesian Theory for Transductive Learning.

, , , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 105-113. JMLR.org, (2014)

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Germain Renouard

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PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations., , , , и . Canadian AI, Canadian Artificial Intelligence Association, (2023)A PAC-Bayes Risk Bound for General Loss Functions., , , и . NIPS, стр. 449-456. MIT Press, (2006)A PAC-Bayes Sample-compression Approach to Kernel Methods., , , , и . ICML, стр. 297-304. Omnipress, (2011)A Greedy Algorithm for Building Compact Binary Activated Neural Networks., и . CoRR, (2022)Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting., , , , , , и . ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 141-157. Springer, (2020)PAC-Bayesian Theory for Transductive Learning., , , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 105-113. JMLR.org, (2014)Improved PAC-Bayesian Bounds for Linear Regression., , , и . CoRR, (2019)PAC-Bayesian Contrastive Unsupervised Representation Learning, , и . (2019)cite arxiv:1910.04464Comment: 16 pages.Target to Source Coordinate-Wise Adaptation of Pre-trained Models., , , и . ECML/PKDD (1), том 12457 из Lecture Notes in Computer Science, стр. 378-394. Springer, (2020)PAC-Bayesian learning of linear classifiers., , , и . ICML, том 382 из ACM International Conference Proceeding Series, стр. 353-360. ACM, (2009)