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Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.

D. Belomestny, A. Naumov, N. Puchkin, and S. Samsonov. Neural Networks, (April 2023)

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Sergey Samsonov

Sergey Gorbunov

Sergey Stepanov

Sergey Libert

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SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning.P. Mangold, S. Samsonov, S. Labbi, I. Levin, R. Alami, A. Naumov, and E. Moulines. CoRR, (2024)Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.D. Belomestny, A. Naumov, N. Puchkin, and S. Samsonov. CoRR, (2022)Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation.A. Durmus, E. Moulines, A. Naumov, and S. Samsonov. CoRR, (2022)First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities.A. Beznosikov, S. Samsonov, M. Sheshukova, A. Gasnikov, A. Naumov, and E. Moulines. CoRR, (2023)Variance reduction for Markov chains with application to MCMC.D. Belomestny, L. Iosipoi, E. Moulines, A. Naumov, and S. Samsonov. Stat. Comput., 30 (4): 973-997 (2020)Theoretical guarantees for neural control variates in MCMC.D. Belomestny, A. Goldman, A. Naumov, and S. Samsonov. CoRR, (2023)Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize.A. Durmus, E. Moulines, A. Naumov, S. Samsonov, K. Scaman, and H. Wai. NeurIPS, page 30063-30074. (2021)MasTer: A Full Automatic Multi-Satellite InSAR Mass Processing Tool for Rapid Incremental 2D Ground Deformation Time Series.N. d'Oreye, D. Derauw, S. Samsonov, M. Jaspard, and D. Smittarello. IGARSS, page 1899-1902. IEEE, (2021)Ex2MCMC: Sampling through Exploration Exploitation.E. Lagutin, D. Selikhanovych, A. Thin, S. Samsonov, A. Naumov, D. Belomestny, M. Panov, and E. Moulines. CoRR, (2021)Variance Reduction for Dependent Sequences with Applications to Stochastic Gradient MCMC.D. Belomestny, L. Iosipoi, E. Moulines, A. Naumov, and S. Samsonov. SIAM/ASA J. Uncertain. Quantification, 9 (2): 507-535 (2021)

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Disambiguation of "Samsonov, Sergey"

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Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.

Please choose a person to relate this publication to

Sergey Samsonov

Sergey Samsonov

Sergey Gorbunov

Sergey Stepanov

Sergey Libert

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Samsonov, Sergey"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.

Please choose a person to relate this publication to

Sergey Samsonov

Sergey Samsonov

Sergey Gorbunov

Sergey Stepanov

Sergey Libert

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.