Vladimir G. Spokoiny

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 13

Top Topics

Dimensional Data

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

J. Optim. Theory Appl.

Publications

Artem Vasin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Vladimir G. Spokoiny
Accelerated gradient methods with absolute and relative noise in the gradient. Optim. Methods Softw. 38 (6) (2023)
Vladimir G. Spokoiny
Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation. SIAM/ASA J. Uncertain. Quantification 11 (3) (2023)
Yang-Wen Sun, Katerina Papagiannouli, Vladimir G. Spokoiny
High dimensional change-point detection: a complete graph approach. CoRR (2022)
Nikita Puchkin, Vladimir G. Spokoiny
Structure-adaptive Manifold Estimation. J. Mach. Learn. Res. 23 (2022)
Vladimir G. Spokoiny
Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation. CoRR (2022)
Christian Bayer, Denis Belomestny, Paul Hager, Paolo Pigato, John Schoenmakers, Vladimir G. Spokoiny
Reinforced optimal control. CoRR (2020)
Kirill Efimov, Larisa Adamyan, Vladimir G. Spokoiny
Adaptive Nonparametric Clustering. IEEE Trans. Inf. Theory 65 (8) (2019)
Yang-Wen Sun, Katerina Papagiannouli, Vladimir G. Spokoiny
Online Graph-Based Change-Point Detection for High Dimensional Data. CoRR (2019)
Nikita Puchkin, Vladimir G. Spokoiny
Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification. CoRR (2018)
Yurii E. Nesterov, Vladimir G. Spokoiny
Random Gradient-Free Minimization of Convex Functions. Found. Comput. Math. 17 (2) (2017)
Valeri G. Gitis, Alexander B. Derendyaev, Sergey A. Pirogov, Vladimir G. Spokoiny, E. F. Yurkov
Earthquake prediction using the fields estimated by an adaptive algorithm. WIMS (2017)
Anastasia S. Kalinina, Alexandra L. Suvorikova, Vladimir G. Spokoiny, Mikhail S. Gelfand
Detection of homologous recombination in closely related strains. J. Bioinform. Comput. Biol. 14 (2) (2016)
Andreas Andresen, Vladimir G. Spokoiny
Convergence of an Alternating Maximization Procedure. J. Mach. Learn. Res. 17 (2016)
Pavel E. Dvurechensky, Yurii E. Nesterov, Vladimir G. Spokoiny
Primal-Dual Methods for Solving Infinite-Dimensional Games. J. Optim. Theory Appl. 166 (1) (2015)
G. N. Milstein, Vladimir G. Spokoiny
Construction of Mean-Self-Financing Strategies for European Options under Regime-Switching. SIAM J. Financial Math. 5 (1) (2014)
Mayya M. Zhilova, Vladimir G. Spokoiny
Uniform properties of the local maximum likelihood estimate. Autom. Remote. Control. 74 (10) (2013)
Elmar Diederichs, Anatoli B. Juditsky, Arkadi Nemirovski, Vladimir G. Spokoiny
Sparse non Gaussian component analysis by semidefinite programming. Mach. Learn. 91 (2) (2013)
Alexey A. Zaitsev, Evgeny V. Burnaev, Vladimir G. Spokoiny
Properties of the posterior distribution of a regression model based on Gaussian random fields. Autom. Remote. Control. 74 (10) (2013)
Elmar Diederichs, Anatoli B. Juditsky, Vladimir G. Spokoiny, Christof Schütte
Sparse non-Gaussian component analysis. IEEE Trans. Inf. Theory 56 (6) (2010)
Karsten Tabelow, Jörg Polzehl, Vladimir G. Spokoiny, Henning U. Voss
Diffusion tensor imaging: Structural adaptive smoothing. NeuroImage 39 (4) (2008)
Vladimir Katkovnik, Vladimir G. Spokoiny
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques. IEEE Trans. Signal Process. 56 (3) (2008)
Arnak S. Dalalyan, Anatoli B. Juditsky, Vladimir G. Spokoiny
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace. J. Mach. Learn. Res. 9 (2008)
Karsten Tabelow, Jörg Polzehl, Henning U. Voss, Vladimir G. Spokoiny
Analyzing fMRI experiments with structural adaptive smoothing procedures. NeuroImage 33 (1) (2006)
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
In Search of Non-Gaussian Components of a High-Dimensional Distribution. J. Mach. Learn. Res. 7 (2006)
Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA (2006)
Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Müller
Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. ICASSP (3) (2006)
Alexander Goldenshluger, Vladimir G. Spokoiny
Recovering convex edges of an image from noisy tomographic data. IEEE Trans. Inf. Theory 52 (4) (2006)
Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir G. Spokoiny, Klaus-Robert Müller
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS (2005)