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Loss factorization, weakly supervised learning and label noise robustness.

, , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 708-717. JMLR.org, (2016)

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On Rényi and Tsallis entropies and divergences for exponential families, and . (2011)cite arxiv:1105.3259Comment: 7 pages.Generalised Lipschitz Regularisation Equals Distributional Robustness., , , , and . CoRR, (2020)Oracles and Assistants: Machine Learning Applied to Network Supervision., and . Canadian AI, volume 1418 of Lecture Notes in Computer Science, page 86-98. Springer, (1998)Identifying and Eliminating Irrelevant Instances Using Information Theory., and . AI, volume 1822 of Lecture Notes in Computer Science, page 90-101. Springer, (2000)Negative Robust Learning Results from Horn Claus Programs., , and . ICML, page 258-265. Morgan Kaufmann, (1996)On Modulating the Gradient for Meta-learning., , , and . ECCV (8), volume 12353 of Lecture Notes in Computer Science, page 556-572. Springer, (2020)Analyse spectrale des textes : détection automatique des frontières de langue et de discours., , and . TALN (Posters), page 619-629. ATALA, (2006)A scaled Bregman theorem with applications., , and . NIPS, page 19-27. (2016)The Impact of Record Linkage on Learning from Feature Partitioned Data., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8216-8226. PMLR, (2021)Fair Densities via Boosting the Sufficient Statistics of Exponential Families., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 32105-32144. PMLR, (2023)