2008

Anatoli Juditsky, Arkadi Nemirovski  Large Deviations of Vector-valued Martingales in 2-Smooth Normed Spaces

2009

2010

Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi Nemirovski  On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing

Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi Nemirovski  L1 Minimization via Randomized 1st Order Algorithms

Itai Dattner,  Alexander Goldenshluger, Anatoli Juditsky  On Deconvolution of Distribution Functions

Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi Nemirovski  Guaranteed bouns for L1-recovery

Anatoli Juditsky, Yuri Nesterov  Primal-dual subgradient methods for minimizing uniformly convex functions

Anatoli Juditsky, Arkadi Nemirovski First Order Methods for Nonsmooth Convex Large-Scale Optimization, I: General Purpose Methods (in Optimization for Machine Learning, Eds: S. Sra, S. Nowozin, S.J. Write, MIT Press, 2011)

Anatoli Juditsky, Arkadi Nemirovski First Order Methods for Nonsmooth Convex Large-Scale Optimization, II: Utilizing Problem's Structure (in Optimization for Machine Learning, Eds: S. Sra, S. Nowozin, S.J. Write, MIT Press, 2011)

 

2011

Elmar Diederichs, Anatoli Juditsky, Vladimir Spokoiny, Arkadi Nemirovski, Sparse Non Gaussian Component Analysis by Semidefinite Programming

Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi Nemirovski. Boris Polyak, Accuracy guaranties for L1 recovery of block-sparse signals

Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi Nemirovski. Boris Polyak, On the accuracy of l1-filtering of signals with block-sparse structure

 

2012

Anatoli Juditsky, Boris Polyak, Robust Eigenvector of a Stochastic Matrix with Application to PageRank

Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi Nemirovski, On unified view of nullspace-type conditions for recoveries associated with general sparsity structures

 

2013

Anatoli Juditsky, Arkadi NemirovskiOn Detecting Harmonic Oscillations

Bruce Cox, Anatoli Juditsky, Arkadi NemirovskiDual subgradient algorithms for large-scale nonsmooth learning problems

Zaid Harchaoui, Anatoli Juditsky, Arkadi NemirovskiConditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization

Anatoli Juditsky, Arkadi NemirovskiSolving Variational Inequalities with Monotone Operators on Domains Given by Linear Minimization Oracles

Niao He, Anatoli Juditsky, Arkadi NemirovskiMirror Prox Algorithm for Multi-Term Composite Minimization and Alternating Directions

 

2014

Alexander Goldenshluger, Anatoli Juditsky, Arkadi NemirovskiHypothesis Testing by Convex Optimization

Anatoli Juditsky, Arkadi NemirovskiOn sequential hypotheses testing via convex optimization

 

Two old manuscripts published in MMS and hardly accessible otherwise

Anatoli Juditsky. Wavelete Estimators: Adapting to Unknown Smoothness (1994)

Anatoli Juditsky, Oleg Lepski. Confidence intervals for adaptive regression estimation (1998)

Anatoli Juditsky, Sophie Lambert-LacroixOn nonparametric confidence set estimation (2003)

 

List of publications

Last updated Feb-20-2015