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10 résultats
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triés par
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Foundations of deep convolutional models through kernel methodsSignal and Image Processing. Université Grenoble Alpes, 2019. English. ⟨NNT : 2019GREAM051⟩
Thèse
tel-02543073v1
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Deep Equals Shallow for ReLU Networks in Kernel RegimesICLR 2021 - International Conference on Learning Representations, May 2021, Virtual, Austria. pp.1-22
Communication dans un congrès
hal-02963250v2
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On the Inductive Bias of Neural Tangent KernelsNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.12873-12884
Communication dans un congrès
hal-02144221v2
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Invariance and Stability of Deep Convolutional RepresentationsNIPS 2017 - 31st Conference on Advances in Neural Information Processing Systems, Dec 2017, Los Angeles, CA, United States. pp.1622-1632
Communication dans un congrès
hal-01630265v1
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Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum StructureNIPS 2017 - Advances in Neural Information Processing Systems, Dec 2017, Long Beach, CA, United States. pp.1622-1632
Communication dans un congrès
hal-01375816v6
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Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional RepresentationsJournal of Machine Learning Research, 2019, 20 (1), pp.1-49
Article dans une revue
hal-01536004v4
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A Contextual Bandit Bake-offJournal of Machine Learning Research, 2021, 22 (133), pp.1-49
Article dans une revue
hal-01708310v4
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A Kernel Perspective for Regularizing Deep Neural NetworksICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.664-674
Communication dans un congrès
hal-01884632v4
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Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation2021
Pré-publication, Document de travail
hal-02883423v2
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Efficient Kernel UCB for Contextual BanditsInternational Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain. pp.5689-5720
Communication dans un congrès
hal-03575953v1
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