Vladimir G. Spokoiny - researchr alias

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Viewing Publication 1 - 10 from 10

2023

Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace ApproximationVladimir G. Spokoiny. juq, 11(3):1044-1068, September 2023. [doi]

Accelerated gradient methods with absolute and relative noise in the gradientArtem Vasin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Vladimir G. Spokoiny. oms, 38(6):1180-1229, November 2023. [doi]

2022

Structure-adaptive Manifold EstimationNikita Puchkin, Vladimir G. Spokoiny. jmlr, 23, 2022. [doi]

2017

Earthquake prediction using the fields estimated by an adaptive algorithmValeri G. Gitis, Alexander B. Derendyaev, Sergey A. Pirogov, Vladimir G. Spokoiny, E. F. Yurkov. wims 2017: [doi]

Random Gradient-Free Minimization of Convex FunctionsYurii Nesterov, Vladimir G. Spokoiny. focm, 17(2):527-566, 2017. [doi]

2016

Convergence of an Alternating Maximization ProcedureAndreas Andresen, Vladimir G. Spokoiny. jmlr, 17, 2016. [doi]

Detection of homologous recombination in closely related strainsAnastasia S. Kalinina, Alexandra L. Suvorikova, Vladimir G. Spokoiny, Mikhail S. Gelfand. jbcb, 14(2):1-12, 2016. [doi]

2013

Properties of the posterior distribution of a regression model based on Gaussian random fieldsAlexey A. Zaitsev, Evgeny V. Burnaev, Vladimir G. Spokoiny. aarc, 74(10):1645-1655, 2013. [doi]

Uniform properties of the local maximum likelihood estimateMayya M. Zhilova, Vladimir G. Spokoiny. aarc, 74(10):1656-1669, 2013. [doi]

2006

Analyzing fMRI experiments with structural adaptive smoothing proceduresKarsten Tabelow, Jörg Polzehl, Henning U. Voss, Vladimir G. Spokoiny. neuroimage, 33(1):55-62, 2006. [doi]

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