Accelerated Stochastic Approximation. - Bernard Delyon; Anatoli B. Juditsky (SIAM J. Optim., 1993)

On the projection algorithm and delay of peaking in adaptive control. - Bernard Delyon; Rauf Izmailov; Anatoli B. Juditsky (IEEE Trans. Autom. Control., 1993)

A stochastic estimation algorithm with observation averaging. - Anatoli B. Juditsky (IEEE Trans. Autom. Control., 1993)

A robust algorithm for random parameter tracking. - Anatoli B. Juditsky; Pierre Priouret (IEEE Trans. Autom. Control., 1994)

Determination of singular points in 2D deformable flow fields. - Mariette Maurizot; Patrick Bouthemy; Bernard Delyon; Anatoli B. Juditsky; Jean-Marc Odobez (ICIP (3), 1995)

Nonlinear black-box models in system identification: Mathematical foundations. - Anatoli B. Juditsky; Håkan Hjalmarsson; Albert Benveniste; Bernard Delyon; Lennart Ljung; Jonas Sjöberg; Qinghua Zhang 002 (Autom., 1995)

Nonlinear black-box modeling in system identification: a unified overview. - Jonas Sjöberg; Qinghua Zhang 002; Lennart Ljung; Albert Benveniste; Bernard Delyon; Pierre-Yves Glorennec; Håkan Hjalmarsson; Anatoli B. Juditsky (Autom., 1995)

Accuracy analysis for wavelet approximations. - Bernard Delyon; Anatoli B. Juditsky; Albert Benveniste (IEEE Trans. Neural Networks, 1995)

Wavelets in identification. - Anatoli B. Juditsky; Qinghua Zhang 002; Bernard Delyon; Pierre-Yves Glorennec; Albert Benveniste (Fuzzy logic and expert systems applications, 1998)

An algorithm for tracking a random walk with unknown drift. - Jean Luc Le Calvez; Bernard Delyon; Anatoli B. Juditsky (ICASSP, 1998)

Introduction to Special Issue on Mutliscale Statistical Signal Analysis and Its Application. - Hamid Krim; Walter Willinger; Anatoli B. Juditsky; David N. C. Tse (IEEE Trans. Inf. Theory, 1999)

Generalization Error Bounds for Aggregation by Mirror Descent with Averaging. - Anatoli B. Juditsky; Alexander V. Nazin; Alexandre B. Tsybakov; Nicolas Vayatis (NIPS, 2005)

Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging. - Anatoli B. Juditsky; Alexander V. Nazin; Alexandre B. Tsybakov; Nicolas Vayatis (Probl. Inf. Transm., 2005)

Remark on "Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging" published in Probl. Peredachi Inf., 2005, no. 4. - Anatoli B. Juditsky; Alexander V. Nazin; Alexandre B. Tsybakov; Nicolas Vayatis (Probl. Inf. Transm., 2006)

A New Algorithm for Estimating the Effective Dimension-Reduction Subspace. - Arnak S. Dalalyan; Anatoli B. Juditsky; Vladimir G. Spokoiny (J. Mach. Learn. Res., 2008)

Robust Stochastic Approximation Approach to Stochastic Programming. - Arkadi Nemirovski; Anatoli B. Juditsky; Guanghui Lan; Alexander Shapiro 001 (SIAM J. Optim., 2009)

Sparse non-Gaussian component analysis. - Elmar Diederichs; Anatoli B. Juditsky; Vladimir G. Spokoiny; Christof Schütte (IEEE Trans. Inf. Theory, 2010)

Verifiable conditions of ℓ1-recovery for sparse signals with sign restrictions. - Anatoli B. Juditsky; Fatma Kilinç-Karzan; Arkadi Nemirovski (Math. Program., 2011)

On verifiable sufficient conditions for sparse signal recovery via ℓ1 minimization. - Anatoli B. Juditsky; Arkadi Nemirovski (Math. Program., 2011)

On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing. - Anatoli B. Juditsky; Fatma Kilinç-Karzan; Arkadi Nemirovski (SIAM J. Matrix Anal. Appl., 2011)

Accuracy Guarantees for ℓ1-Recovery. - Anatoli B. Juditsky; Arkadi Nemirovski (IEEE Trans. Inf. Theory, 2011)

Robust eigenvector of a stochastic matrix with application to PageRank. - Anatoli B. Juditsky; Boris T. Polyak (CDC, 2012)

On unified view of nullspace-type conditions for recoveries associated with general sparsity structures - Anatoli B. Juditsky; Fatma Kilinç-Karzan; Arkadi Nemirovski (CoRR, 2012)

Mirror Prox Algorithm for Multi-Term Composite Minimization and Alternating Directions. - Niao He; Anatoli B. Juditsky; Arkadi Nemirovski (CoRR, 2013)

Sparse non Gaussian component analysis by semidefinite programming. - Elmar Diederichs; Anatoli B. Juditsky; Arkadi Nemirovski; Vladimir G. Spokoiny (Mach. Learn., 2013)

Randomized first order algorithms with applications to ℓ 1-minimization. - Anatoli B. Juditsky; Fatma Kilinç-Karzan; Arkadi Nemirovski (Math. Program., 2013)

Dual subgradient algorithms for large-scale nonsmooth learning problems. - Bruce Cox; Anatoli B. Juditsky; Arkadi Nemirovski (Math. Program., 2014)

Adaptive Recovery of Signals by Convex Optimization. - Zaïd Harchaoui; Anatoli B. Juditsky; Arkadi Nemirovski; Dmitry Ostrovsky (COLT, 2015)

On sequential hypotheses testing via convex optimization. - Anatoli B. Juditsky; A. S. Nemirovskii 001 (Autom. Remote. Control., 2015)

Mirror Prox algorithm for multi-term composite minimization and semi-separable problems. - Niao He; Anatoli B. Juditsky; Arkadi Nemirovski (Comput. Optim. Appl., 2015)

Conditional gradient algorithms for norm-regularized smooth convex optimization. - Zaïd Harchaoui; Anatoli B. Juditsky; Arkadi Nemirovski (Math. Program., 2015)

Structure-Blind Signal Recovery. - Dmitry Ostrovsky; Zaïd Harchaoui; Anatoli B. Juditsky; Arkadi Nemirovski (NIPS, 2016)

Solving variational inequalities with monotone operators on domains given by Linear Minimization Oracles. - Anatoli B. Juditsky; Arkadi Nemirovski (Math. Program., 2016)

Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine Monotone Operators. - Bruce Cox; Anatoli B. Juditsky; Arkadi Nemirovski (J. Optim. Theory Appl., 2017)

Non-asymptotic confidence bounds for the optimal value of a stochastic program. - Vincent Guigues; Anatoli B. Juditsky; Arkadi Nemirovski (Optim. Methods Softw., 2017)

Signal Recovery by Stochastic Optimization. - Anatoli B. Juditsky; Arkadi S. Nemirovsky (Autom. Remote. Control., 2019)

Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method. - Alexander V. Nazin; Arkadi S. Nemirovsky; Alexandre B. Tsybakov; Anatoli B. Juditsky (Autom. Remote. Control., 2019)

Convex Recovery of Marked Spatio-Temporal Point Processes. - Anatoli B. Juditsky; Arkadi Nemirovski; Liyan Xie; Yao Xie 002 (CoRR, 2020)

Sparse recovery by reduced variance stochastic approximation. - Anatoli B. Juditsky; Andrei Kulunchakov; Hlib Tsyntseus (CoRR, 2020)

Convex Parameter Recovery for Interacting Marked Processes. - Anatoli B. Juditsky; Arkadi Nemirovski; Liyan Xie; Yao Xie 002 (IEEE J. Sel. Areas Inf. Theory, 2020)

Constant Depth Decision Rules for multistage optimization under uncertainty. - Vincent Guigues; Anatoli B. Juditsky; Arkadi Nemirovski (Eur. J. Oper. Res., 2021)

Recovery of Intrinsic Heterojunction Bipolar Transistors Profiles by Neural Networks. - Grégoire Caron; Anatoli B. Juditsky; Nicolas Guitard; Didier Céli (BCICTS, 2022)

On well-structured convex-concave saddle point problems and variational inequalities with monotone operators. - Anatoli B. Juditsky; Arkadi Nemirovski (Optim. Methods Softw., 2022)

Tight computationally efficient approximation of matrix norms with applications. - Anatoli B. Juditsky; Georgios Kotsalis; Arkadi Nemirovski (Open J. Math. Optim., 2022)

Stochastic Mirror Descent for Large-Scale Sparse Recovery. - Sasila Ilandarideva; Yannis Bekri; Anatoli B. Juditsky; Vianney Perchet (AISTATS, 2023)

Generalized generalized linear models: Convex estimation and online bounds. - Anatoli B. Juditsky; Arkadi Nemirovski; Yao Xie 002; Chen Xu (CoRR, 2023)

Unifying mirror descent and dual averaging. - Anatoli B. Juditsky; Joon Kwon; Éric Moulines (Math. Program., 2023)

First order algorithms for computing linear and polyhedral estimates. - Yannis Bekri; Anatoli B. Juditsky; Arkadi Nemirovski (Open J. Math. Optim., 2024)

On Design of Polyhedral Estimates in Linear Inverse Problems. - Anatoli B. Juditsky; Arkadi Nemirovski (SIAM J. Math. Data Sci., 2024)

Robust Signal Recovery Under Uncertain-but-Bounded Perturbations in Observation Matrix. - Yannis Bekri; Anatoli B. Juditsky; Arkadi Nemirovski (J. Optim. Theory Appl., 2025)

Estimation from Indirect Observations Under Stochastic Uncertainty in Observation Matrix. - Yannis Bekri; Anatoli B. Juditsky; Arkadi Nemirovski (J. Optim. Theory Appl., 2025)

Accelerated stochastic approximation with state-dependent noise. - Sasila Ilandarideva; Anatoli B. Juditsky; Guanghui Lan; Tianjiao Li (Math. Program., 2025)