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1Academic Journal
المؤلفون: Leimkuhler, Benedict, Paulin, Daniel, Whalley, Peter A.
المصدر: ESAIM: Mathematical Modelling and Numerical Analysis, 58 (6)
مصطلحات موضوعية: Mathematics Subject Classification: 65C05 / 65C30 / 65C40, Stochastic gradient, contractive numerical method, Wasserstein convergence, kinetic Langevin dynamics, underdamped Langevin dynamics, MCMC sampling, Brunger–Brooks–Karplus, stochastic Verlet, Bayesian logistic regression, MNIST classification
وصف الملف: application/application/pdf
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2Academic Journal
المؤلفون: Liu, Yating, Pagès, Gilles
المساهمون: Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)
المصدر: ISSN: 1350-7265 ; Bernoulli ; https://hal.science/hal-02406592 ; Bernoulli, In press, 26 (2), ⟨10.3150/19-BEJ1146⟩.
مصطلحات موضوعية: Vector quantization, Voronoï diagram, Wasserstein convergence, Probability distribution characterization, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Relation: hal-02406592; https://hal.science/hal-02406592; https://hal.science/hal-02406592/document; https://hal.science/hal-02406592/file/characterization_quantization_bernoulli.pdf
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3Academic Journal
المؤلفون: Liu, Yating, Pagès, Gilles
مصطلحات موضوعية: Probability distribution characterization, Vector quantization, Vorono¨ı diagram, Wasserstein convergence, Probabilités et mathématiques appliquées
Time: 519
وصف الملف: application/pdf
Relation: Bernoulli; 26; 2020-05; International Statistical Institute; non; oui; https://basepub.dauphine.psl.eu/handle/123456789/23680
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4
المؤلفون: Gilles Pagès, Yating Liu
المصدر: Bernoulli 26, no. 2 (2020), 1171-1204
مصطلحات موضوعية: Statistics and Probability, Discrete mathematics, probability distribution characterization, Quantization (signal processing), Probability (math.PR), Dimension (graph theory), Hilbert space, Order (ring theory), Separable space, Wasserstein convergence, symbols.namesake, vector quantization, Norm (mathematics), FOS: Mathematics, symbols, Probability distribution, Voronoï diagram, Mathematics - Probability, Probability measure, Mathematics
وصف الملف: application/pdf
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5
المؤلفون: Liu, Yating
المساهمون: Laboratoire de Probabilités, Statistiques et Modélisations (LPSM (UMR_8001)), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Sorbonne Université, UPMC, Laboratoire de Probabilités, Statistique et Modélisation (LPSM), Gilles Pagès, Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Sorbonne Université
المصدر: Probability [math.PR]. Sorbonne Université, UPMC; Laboratoire de Probabilités, Statistique et Modélisation (LPSM), 2019. English
Probability [math.PR]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS215⟩مصطلحات موضوعية: Simulation of McKean-Vlasov equation, Méthode de particule, Optimal quantization, Caractérisation de la convergence Wasserstein, K-means clustering, Particle method, Wasserstein convergence characterization, Ordre convexe, Quantification optimale, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Simulation de l’équation de McKean-Vlasov, Convex order, Classification non supervisée, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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6Dissertation/ Thesis
المؤلفون: Liu, Yating
المساهمون: Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Sorbonne Université, Gilles Pagès
المصدر: https://theses.hal.science/tel-02954146 ; Probability [math.PR]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS215⟩.
مصطلحات موضوعية: Optimal quantization, Wasserstein convergence characterization, K-means clustering, Simulation of McKean-Vlasov equation, Particle method, Convex order, Quantification optimale, Caractérisation de la convergence Wasserstein, Classification non supervisée, Simulation de l’équation de Mckean-Vlasov, Méthode de particule, Ordre convexe, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Relation: NNT: 2019SORUS215
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7
المؤلفون: Yating Liu
المساهمون: Laboratoire de Probabilités, Statistiques et Modélisations (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Sorbonne Université, Gilles Pagès
المصدر: Yating Liu
Probability [math.PR]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS215⟩مصطلحات موضوعية: Simulation of McKean-Vlasov equation, Optimal quantization, Méthode de particule, Caractérisation de la convergence Wasserstein, K-means clustering, Particle method, Simulation de l’équation de Mckean-Vlasov, Wasserstein convergence characterization, Quantification optimale, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Classification non supervisée, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Ordre convexe, Convex order, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]