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Journal of Machine Learning Research, 2024, Volume 25, Pages 1–47 (Mi jmlr1)  
Rates of convergence for density estimation with generative adversarial networks

Nikita Puchkinab, Sergey Samsonovab, Denis Belomestnyca, Eric Moulinesde, Alexey Naumovaf

a HSE University, Russian Federation
b Institute for Information transmission Problems, Russian Federation
c Duisburg-Essen University, Germany
d École Polytechnique, France
e Mohamed Bin Zayed University of AI, United Arab Emirates
f Steklov Mathematical Institute of Russian Academy of Sciences, Russian Federation
URL: https://www.jmlr.org/papers/volume25/23-0062/23-0062.pdf
Funding agency Grant number
Analytical Center for the Government of the Russian Federation 000000D730321P5Q0002
National Research University Higher School of Economics 70-2021-00139
The publication was supported by the grant for research centers in the field of AI provided by the Analytical Center for the Government of the Russian Federation (ACRF) in accordance with the agreement on the provision of subsidies (identifier of the agreement 000000D730321P5Q0002) and the agreement with HSE University №70-2021-00139.
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Document Type: Article
Language: English
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