Source: Studies in Theoretical and Applied Statistics, SIS 2021, Pisa, Italy, June 21-25, N. Salvati, C. Perna, S. Marchetti and R. Chambers (Eds), Springer Proceedings in

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Certified Multi-Fidelity Zeroth-Order Optimization

Authors : de Montbrun, Étienne; Gerchinovitz, Sébastien;

Subjects: Multi-fidelity; Global optimization; Bandit algorithms

Source: https://hal.science/hal-04174484 ; 2023.

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New insights into the feature maps of Sobolev kernels: application in global sensitivity analysis

Authors : Sarazin, Gabriel; Marrel, Amandine; da Veiga, Sebastien ...

Subjects: Sensitivity analysis; Hilbert-Schmidt independence criterion; cross-covariance operators

Source: https://cea.hal.science/cea-04320711 ; 2023.

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Academic Journal

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Authors : Dieuleveut, Aymeric; Fort, Gersende; Moulines, Éric ...

Subjects: stochastic approximation convergence analysis compressed stochastic gradient expectation maximization; stochastic approximation; convergence analysis

Source: ISSN: 1053-587X ; IEEE Transactions on Signal Processing ; https://hal.science/hal-04174351 ; IEEE Transactions on Signal Processing, In press.

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Conference

Independence test based on total-order HSIC-ANOVA indices ; Test d'indépendance basé sur les indices HSIC-ANOVA d'ordre total

Authors : Sarazin, Gabriel; Marrel, Amandine; da Veiga, Sébastien ...

Subjects: Sensitivity analysis; Hilbert-Schmidt Independence Criterion (HSIC); Test of independenceLyon; France

Source: 53èmes Journées de Statistique de la SFdShttps://cea.hal.science/cea-0370117053èmes Journées de Statistique de la SFdS, Société Française de Statistique (SFdS)Université

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Conference

A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks

Authors : Mehdi Achour, El; Foucault, Armand; Gerchinovitz, Sébastien ...

Subjects: neural networks; approximation theory; lower boundsNew-Orleans; United States

Source: Advances in Neural Information Processing Systems ; https://hal.science/hal-03690079 ; Advances in Neural Information Processing Systems, Dec 2022, New-Orleans, United States

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Conference

The ICSCREAM methodology: identification of penalizing configurations in computer experiments using screening and metamodel applications in thermal-hydraulics

Authors : Marrel, Amandine; Iooss, Bertrand; Chabridon, Vincent ...

Subjects: Metamodel; Gaussian process; ScreeningAtlanta; United States

Source: UQ22 - SIAM Conference on Uncertainty Quantification ; https://cea.hal.science/cea-03700747 ; UQ22 - SIAM Conference on Uncertainty Quantification, SIAM, Apr 2022, Atlanta, United States ;

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Adaptive approximation of monotone functions

Authors : Gaillard, Pierre; Gerchinovitz, Sébastien; de Montbrun, Étienne ...

Subjects: Approximation theory; Sequential algorithms; Numerical integration

Source: https://inria.hal.science/hal-04203136 ; 2023.

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فلترة النتائج

On the nonconvexity of some push-forward constraints and its consequences in machine learning

Minimax density estimation in the adversarial framework under local differential privacy

Model predictivity assessment: incremental test-set selection and accuracy evaluation

Certified Multi-Fidelity Zeroth-Order Optimization

New insights into the feature maps of Sobolev kernels: application in global sensitivity analysis

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Independence test based on total-order HSIC-ANOVA indices ; Test d'indépendance basé sur les indices HSIC-ANOVA d'ordre total

A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks

The ICSCREAM methodology: identification of penalizing configurations in computer experiments using screening and metamodel applications in thermal-hydraulics

Adaptive approximation of monotone functions

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