Vladimir G. Spokoiny
Orcid: 0000-0002-2040-3427Affiliations:
- Moscow Institute of Physics and Technology, Laboratory of Structural Methods of Data Analysis in Predictive Modeling, Moscow, Russia
- Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
According to our database1,
Vladimir G. Spokoiny
authored at least 28 papers
between 2005 and 2023.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2023
Optim. Methods Softw., November, 2023
Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation.
SIAM/ASA J. Uncertain. Quantification, September, 2023
2022
Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation.
CoRR, 2022
2020
2019
2018
Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification.
CoRR, 2018
2017
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017
2016
J. Bioinform. Comput. Biol., 2016
2015
J. Optim. Theory Appl., 2015
2014
Construction of Mean-Self-Financing Strategies for European Options under Regime-Switching.
SIAM J. Financial Math., 2014
2013
Mach. Learn., 2013
Autom. Remote. Control., 2013
Properties of the posterior distribution of a regression model based on Gaussian random fields.
Autom. Remote. Control., 2013
2010
2008
IEEE Trans. Signal Process., 2008
J. Mach. Learn. Res., 2008
2006
IEEE Trans. Inf. Theory, 2006
NeuroImage, 2006
J. Mach. Learn. Res., 2006
Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005