Vladimir G. Spokoiny

30 papers Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dimension-free bounds in high-dimensional linear regression via error-in-operator approach. CoRR Fedor Noskov, Nikita Puchkin, Vladimir G. Spokoiny
2025	J	`jnl`	High-Dimensional Change Point Detection using Graph Spanning Ratio. CoRR Youngwen Sun, Katerina Papagiannouli, Vladimir G. Spokoiny
2023	J	`jnl`	Accelerated gradient methods with absolute and relative noise in the gradient. Optim. Methods Softw. Artem Vasin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Vladimir G. Spokoiny
2023	J	`jnl`	Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation. SIAM/ASA J. Uncertain. Quantification Vladimir G. Spokoiny
2022	J	`jnl`	Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation. CoRR Vladimir G. Spokoiny
2022	J	`jnl`	High dimensional change-point detection: a complete graph approach. CoRR Yang-Wen Sun, Katerina Papagiannouli, Vladimir G. Spokoiny
2022	J	`jnl`	Structure-adaptive Manifold Estimation. J. Mach. Learn. Res. Nikita Puchkin, Vladimir G. Spokoiny
2020	J	`jnl`	Reinforced optimal control. CoRR Christian Bayer, Denis Belomestny, Paul Hager, Paolo Pigato, John Schoenmakers, Vladimir G. Spokoiny
2019	J	`jnl`	Adaptive Nonparametric Clustering. IEEE Trans. Inf. Theory Kirill Efimov, Larisa Adamyan, Vladimir G. Spokoiny
2019	J	`jnl`	Online Graph-Based Change-Point Detection for High Dimensional Data. CoRR Yang-Wen Sun, Katerina Papagiannouli, Vladimir G. Spokoiny
2018	J	`jnl`	Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification. CoRR Nikita Puchkin, Vladimir G. Spokoiny
2017	—	`conf`	Earthquake prediction using the fields estimated by an adaptive algorithm. WIMS Valeri G. Gitis, Alexander B. Derendyaev, Sergey A. Pirogov, Vladimir G. Spokoiny, E. F. Yurkov
2017	J	`jnl`	Random Gradient-Free Minimization of Convex Functions. Found. Comput. Math. Yurii E. Nesterov, Vladimir G. Spokoiny
2016	J	`jnl`	Convergence of an Alternating Maximization Procedure. J. Mach. Learn. Res. Andreas Andresen, Vladimir G. Spokoiny
2016	J	`jnl`	Detection of homologous recombination in closely related strains. J. Bioinform. Comput. Biol. Anastasia S. Kalinina, Alexandra L. Suvorikova, Vladimir G. Spokoiny, Mikhail S. Gelfand
2015	J	`jnl`	Primal-Dual Methods for Solving Infinite-Dimensional Games. J. Optim. Theory Appl. Pavel E. Dvurechensky, Yurii E. Nesterov, Vladimir G. Spokoiny
2014	J	`jnl`	Construction of Mean-Self-Financing Strategies for European Options under Regime-Switching. SIAM J. Financial Math. G. N. Milstein, Vladimir G. Spokoiny
2013	J	`jnl`	Properties of the posterior distribution of a regression model based on Gaussian random fields. Autom. Remote. Control. Alexey A. Zaitsev, Evgeny V. Burnaev, Vladimir G. Spokoiny
2013	J	`jnl`	Sparse non Gaussian component analysis by semidefinite programming. Mach. Learn. Elmar Diederichs, Anatoli B. Juditsky, Arkadi Nemirovski, Vladimir G. Spokoiny
2013	J	`jnl`	Uniform properties of the local maximum likelihood estimate. Autom. Remote. Control. Mayya M. Zhilova, Vladimir G. Spokoiny
2010	J	`jnl`	Sparse non-Gaussian component analysis. IEEE Trans. Inf. Theory Elmar Diederichs, Anatoli B. Juditsky, Vladimir G. Spokoiny, Christof Schütte
2008	J	`jnl`	A New Algorithm for Estimating the Effective Dimension-Reduction Subspace. J. Mach. Learn. Res. Arnak S. Dalalyan, Anatoli B. Juditsky, Vladimir G. Spokoiny
2008	J	`jnl`	Diffusion tensor imaging: Structural adaptive smoothing. NeuroImage Karsten Tabelow, Jörg Polzehl, Vladimir G. Spokoiny, Henning U. Voss
2008	J	`jnl`	Spatially Adaptive Estimation via Fitted Local Likelihood Techniques. IEEE Trans. Signal Process. Vladimir Katkovnik, Vladimir G. Spokoiny
2006	—	`conf`	A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	J	`jnl`	Analyzing fMRI experiments with structural adaptive smoothing procedures. NeuroImage Karsten Tabelow, Jörg Polzehl, Henning U. Voss, Vladimir G. Spokoiny
2006	J	`jnl`	In Search of Non-Gaussian Components of a High-Dimensional Distribution. J. Mach. Learn. Res. Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	—	`conf`	Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. ICASSP (3) Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	J	`jnl`	Recovering convex edges of an image from noisy tomographic data. IEEE Trans. Inf. Theory Alexander Goldenshluger, Vladimir G. Spokoiny
2005	—	`conf`	Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir G. Spokoiny, Klaus-Robert Müller