A. Juditsky

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Aliases
A.b. Juditsky, Anatolij Juditsky, Anatoli B. Juditsky, A. Juditsky, A. B. Juditsky, A Juditsky, Anatoli Juditsky
Publication record
156 papers · 11,659 citations · H-index 33

PAPERS

Estimation from Indirect Observations Under Stochastic Uncertainty in Observation Matrix
20251 citationsauthor #2
Robust Signal Recovery Under Uncertain-but-Bounded Perturbations in Observation Matrix
20250 citationsauthor #2
Physics-based LSTM Neural Network Surrogate Modelfor SiGe HBT Intrinsic Profile Optimization
20240 citationsauthor #2
Accelerated stochastic approximation with state-dependent noise
202312 citationsauthor #2
Generalized generalized linear models: Convex estimation and online bounds
20233 citationsauthor #1
On robust recovery of signals from indirect observations
20232 citationsauthor #2
First order algorithms for computing linear and polyhedral estimates
20230 citationsauthor #2
Radiation design in computed tomography via convex optimization
20230 citationsauthor #1
On Design of Polyhedral Estimates in Linear Inverse Problems
20222 citationsauthor #1
Recovery of Intrinsic Heterojunction Bipolar Transistors Profiles by Neural Networks
20221 citationsauthor #2
Stochastic Mirror Descent for Large-Scale Sparse Recovery
20222 citationsauthor #3
Aggregating regular norms
20220 citationsauthor #1
Advance Program
20220 citationsauthor #67
Tight computationally efficient approximation of matrix norms with applications
20214 citationsauthor #1
Aggregating estimates by convex optimization
20210 citationsauthor #1
On well-structured convex–concave saddle point problems and variational inequalities with monotone operators
202112 citationsauthor #1
Convex Recovery of Marked Spatio-Temporal Point Processes
20206 citationsauthor #1
Constant Depth Decision Rules for multistage optimization under uncertainty
20202 citationsauthor #2
Constant Depth Decision Rules for Multistage Stochastic Convex Programs
20200 citationsauthor #2
Statistical Inference via Convex Optimization
202040 citationsauthor #1
Sparse recovery by reduced variance stochastic approximation
20208 citationsauthor #1
PREFACE
20200 citationsauthor #1
Convex Parameter Recovery for Interacting Marked Processes
202015 citationsauthor #1
Unifying mirror descent and dual averaging
201929 citationsauthor #1
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method
201974 citationsauthor #4
Signal Recovery by Stochastic Optimization
201920 citationsauthor #1
Statistical Inference for Structured High-dimensional Models
20190 citationsauthor #1
Near-optimal recovery of linear and N-convex functions on unions of convex sets
20185 citationsauthor #1
Adaptive Denoising of Signals with Shift-Invariant Structure
20180 citationsauthor #3
On polyhedral estimation of signals via indirect observations
20189 citationsauthor #1
Near-optimality of linear recovery from indirect observations
201713 citationsauthor #1
Hypothesis testing via Euclidean separation
20173 citationsauthor #2
Hypothesis testing via affine detectors
20168 citationsauthor #1
Structure-Blind Signal Recovery
20163 citationsauthor #3
Non-asymptotic confidence bounds for the optimal value of a stochastic program
201649 citationsauthor #2
Change Detection via Affine and Quadratic Detectors
201611 citationsauthor #3
Near-optimality of linear recovery in Gaussian observation scheme under $\Vert \cdot \Vert_{2}^{2}$-loss
20167 citationsauthor #1
Estimating linear and quadratic forms via indirect observations
20164 citationsauthor #1
Filtrage adaptatif par optimisation convexe
20160 citationsauthor #2
Estimation and testing by convex optimization. Invited tutorial
20160 citationsauthor #1
Adaptive Estimation by Convex Optimization
20150 citationsauthor #1
Adaptive Recovery of Signals by Convex Optimization
20156 citationsauthor #2
Rejoinder of “Hypothesis testing by convex optimization”
20150 citationsauthor #2
Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine Monotone Operators
201532 citationsauthor #2
Optimization problems and Variational Inequalities on domains given by Linear Minimization Oracle
20150 citationsauthor #1
On sequential hypotheses testing via convex optimization
20151 citationsauthor #1
Simple methods for large-scale learning problems via Fenchel-type representations
20140 citationsauthor #1
Dual Algorithms for Large-Scale Learning Problems
20140 citationsauthor #1
On sequential hypotheses testing via convex optimization
20144 citationsauthor #1
Deterministic and Stochastic Primal-Dual Subgradient Algorithms for Uniformly Convex Minimization
201496 citationsauthor #1
ACCURACY GUARANTIES FOR (cid:2) 1 RECOVERY OF BLOCK-SPARSE SIGNALS
20134 citationsauthor #1
Sparse non Gaussian component analysis by semidefinite programming
20130 citationsauthor #2
Mirror Prox algorithm for multi-term composite minimization and semi-separable problems
201354 citationsauthor #2
Conditional gradient algorithms for norm-regularized smooth convex optimization
2013193 citationsauthor #2
Mirror Prox Algorithm for Multi-Term Composite Minimization and Alternating Directions
20136 citationsauthor #2
Nonparametric testing by convex optimization
20130 citationsauthor #1
Hypothesis testing by convex optimization
201326 citationsauthor #2
On detecting harmonic oscillations
20139 citationsauthor #1
Dual subgradient algorithms for large-scale nonsmooth learning problems
201329 citationsauthor #2
Solving variational inequalities with monotone operators on domains given by Linear Minimization Oracles
201336 citationsauthor #1
Stochastic Approximation approach to Stochastic Programming
20131,763 citationsauthor #1
Dual subgradient algorithms for large-scale nonsmooth learning problems
20130 citationsauthor #2
On unified view of nullspace-type conditions for recoveries associated with general sparsity structures
201213 citationsauthor #1
Accuracy guaranties and optimal l1 recovery of sparse signals
20120 citationsauthor #1
Conditional gradient algorithms for regularized learning
20124 citationsauthor #1
Robust eigenvector of a stochastic matrix with application to PageRank
201216 citationsauthor #1
Mirror Prox Solver for min x { ∥ x ∥ 1 : ∥ Ax − b ∥ p ≤ δ } User ’ s Guide
20120 citationsauthor #1
Randomized first order algorithms with applications to ℓ1-minimization
201218 citationsauthor #1
Minimization via Randomized First Order Algorithms
20110 citationsauthor #1
Accuracy guaranties for $\ell_1$ recovery of block-sparse signals
201127 citationsauthor #1
Accuracy Guarantees for <formula formulatype="inline"> <tex Notation="TeX">$\ell_1$</tex></formula>-Recovery
20112 citationsauthor #1
Application of convex optimization to statistical estimation and test
20110 citationsauthor #1
Sparse non Gaussian component analysis by semidefinite programming
201119 citationsauthor #2
Accuracy Guarantees for ℓ1-Recovery
201036 citationsauthor #1
ON DECONVOLUTION OF DISTRIBUTION FUNCTIONS
201068 citationsauthor #3
Nonparametric denoising signals of unknown local structure, II: Nonparametric function recovery
20105 citationsauthor #1
` 1 Minimization via Randomized First Order Algorithms
20105 citationsauthor #1
On statistical applications of l1-recovery
20090 citationsauthor #1
M ay 2 00 5 Recursive Aggregation of Estimators by Mirror Descent Algorithm with Averaging
20090 citationsauthor #1
Verifiable Conditions of L1-recovery of Sparse Signals with Sign Restriction
20094 citationsauthor #1
NONPARAMETRIC ESTIMATION OF COMPOSITE FUNCTIONS
200950 citationsauthor #1
Sparse Non-Gaussian Component Analysis
200920 citationsauthor #2
Mirror averaging, aggregation and model selection
20091 citationsauthor #2
Verifiable conditions of ℓ1-recovery for sparse signals with sign restrictions
200931 citationsauthor #1
Nonparametric estimation by convex programming
200939 citationsauthor #1
Minimax Confidence Intervals for Pointwize Nonparametric Regression Estimation
20090 citationsauthor #1
On verifiable sufficient conditions for sparse signal recovery via ℓ1 minimization
2008144 citationsauthor #1
Change-point estimation from indirect observations. 2. Adaptation
20088 citationsauthor #2
Robust Stochastic Approximation Approach to Stochastic Programming
2008800 citationsauthor #2
Change-point estimation from indirect observations. 1. Minimax complexity
200813 citationsauthor #2
Solving variational inequalities with Stochastic Mirror-Prox algorithm
2008474 citationsauthor #1
Large Deviations of Vector-valued Martingales in 2-Smooth Normed Spaces
200898 citationsauthor #1
Nonparametric Denoising of Signals with Unknown Local Structure, I: Oracle Inequalities
200813 citationsauthor #1
Submitted to the Annals of Applied Probability NONPARAMETRIC ESTIMATION BY CONVEX PROGRAMMING By
20080 citationsauthor #1
Estimateurs par Ondelettes : Adaptation a laR egularit
20070 citationsauthor #1
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
200777 citationsauthor #2
2 Problem I : Hypotheses testing
20070 citationsauthor #1
Nonparametric estimation by convex optimization
20070 citationsauthor #1
On the Computation of Wavelet Coeecients Abbreviated Title : Wavelet Coeecients
20070 citationsauthor #2
Remark on “Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging” published in Probl. Peredachi Inf., 2005, no. 4
20060 citationsauthor #1

TIMELINE

1992 2,324 citations

1993 270 citations

1994 80 citations

1995 2,878 citations

1996 142 citations

1997 58 citations

1998 5 citations

1999 10 citations

2000 207 citations

2001 482 citations

2002 45 citations

2004 34 citations

2005 284 citations

2006 0 citations

2007 77 citations

2008 1,550 citations

2009 145 citations

2010 114 citations

2011 48 citations

2012 51 citations

2013 2,120 citations

2014 100 citations

2015 39 citations

2016 82 citations

2017 16 citations

2018 14 citations

2019 123 citations

2020 71 citations

2021 16 citations

2022 5 citations

2023 17 citations

2024 0 citations

2025 1 citations

Unknown 271 citations

A. Juditsky

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