Comparing distributions: $l1$ geometry improves kernel two-sample testing

Meyer Scetbon; Gaël Varoquaux

Conference Papers Year : 2019

Comparing distributions: $l1$ geometry improves kernel two-sample testing

(1, 2) , (1)

1
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Meyer Scetbon

Function : Author

Modelling brain structure, function and variability based on high-field MRI data

Centre de Recherche en Économie et Statistique

Gaël Varoquaux

Function : Author
PersonId : 5878
IdHAL : gael-varoquaux
ORCID : 0000-0003-1076-5122
IdRef : 126239894

Modelling brain structure, function and variability based on high-field MRI data

CV

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Statistics [stat] Machine Learning [stat.ML]

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NIPS_L1_test-HAL-v2 (1).pdf (1.32 Mo)

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Meyer Scetbon : Connect in order to contact the contributor

https://hal.inria.fr/hal-02292545

Submitted on : Tuesday, October 1, 2019-3:23:00 AM

Last modification on : Friday, August 5, 2022-2:49:41 PM

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hal-02292545 , version 1 (20-09-2019)

hal-02292545 , version 2 (01-10-2019)

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HAL Id : hal-02292545 , version 2

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Meyer Scetbon, Gaël Varoquaux. Comparing distributions: $l1$ geometry improves kernel two-sample testing. NeurIPS 2019 - 33th Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02292545v2⟩

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Comparing distributions: $l1$ geometry improves kernel two-sample testing

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