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Academic Journal

Empirical Risk Minimization with Relative Entropy Regularization

Subjects: Supervised Learning; PAC-Learning; Regularization

  • Source: ISSN: 0018-9448 ; IEEE Transactions on Information Theory ; https://hal.science/hal-03849748 ; IEEE Transactions on Information Theory, In press, pp.1-1. ⟨10.1109/TIT.2024.3365728⟩.

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Conference

Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis

Subjects: Learning Theory; PAC-Learning; RegularizationEspoo; Finland

  • Source: ISIT 2022 - IEEE International Symposium on Information Theory ; https://inria.hal.science/hal-03561396 ; ISIT 2022 - IEEE International Symposium on Information Theory, Jun 2022, Espoo, Finland.

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Conference

Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences

Subjects: Empirical risk minimization; f -divergence regularization; statistical learningAthens; Greece

  • Source: Proceedings of the IEEE International Symposium on Information Theory ; https://hal.science/hal-04431558 ; Proceedings of the IEEE International Symposium on Information Theory, IEEE, Jul 2024,

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Conference

Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure

Subjects: Supervised Machine Learning; Worst-Case; Generalization GapVancouverVancouver, Canada

  • Source: AAAI 2024 - Conference on Artificial Intelligence ; https://inria.hal.science/hal-04353957 ; AAAI 2024 - Conference on Artificial Intelligence, Feb 2024, Vancouver, Canada. pp.17271-17279,

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Conference

Leveraging Noisy Observations in Zero-Sum Games

Subjects: Zero Sum Games; Gaussian Channel; Nash EquilibriumShenzhen; China

  • Source: IEEE Information Theory Workshop (ITW) ; https://inria.hal.science/hal-04432819 ; IEEE Information Theory Workshop (ITW), Nov 2024, Shenzhen, China

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