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20042026
most citedOn Verifiable Sufficient Conditions for Sparse Signal Recovery via Minimization

103 citations · 640 across the 49 of their papers we have counts for

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31 papers · 1 filter

math.ST2025

On robust recovery of signals from indirect observations

Yannis Bekri, Anatoli Juditsky, Arkadi Nemirovski

We consider an uncertain linear inverse problem as follows. Given observation where and is observation noise, we want to re…

math.ST2023★ 1 cited

On Robust Recovery of Signals from Indirect Observations

Yannis Bekri, Anatoli Juditsky, Arkadi Nemirovski

Our focus is on robust recovery algorithms in statistical linear inverse problem. We consider two recovery routines - the much studied linear estimate originating from Kuks and Olm…

math.ST2022

On Design of Polyhedral Estimates in Linear Inverse Problems

Anatoli Juditsky, Arkadi Nemirovski

Polyhedral estimate is a generic efficiently computable nonlinear in observations routine for recovering unknown signal belonging to a given convex compact set from noisy observati…

math.ST2021

Aggregating estimates by convex optimization

Anatoli Juditsky, Arkadi Nemirovski

We discuss the approach to estimate aggregation and adaptive estimation based upon (nearly optimal) testing of convex hypotheses. We show that in the situation where the observatio…

math.ST2020

Convex Parameter Recovery for Interacting Marked Processes

Anatoli Juditsky, Arkadi Nemirovski, Liyan Xie +1

We introduce a new general modeling approach for multivariate discrete event data with categorical interacting marks, which we refer to as marked Bernoulli processes. In the propos…

math.ST2019★ 2 cited

Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method

Anatoli Juditsky, Alexander Nazin, Arkadi Nemirovsky +1

We propose an approach to construction of robust non-Euclidean iterative algorithms for convex composite stochastic optimization based on truncation of stochastic gradients. For su…