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09/12/2023
On Robust Recovery of Signals from Indirect Observations
Our focus is on robust recovery algorithms in statistical linear inverse...
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07/04/2023
Accelerated stochastic approximation with state-dependent noise
We consider a class of stochastic smooth convex optimization problems un...
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01/06/2023
Radiation design in computed tomography via convex optimization
Proper X-ray radiation design (via dynamic fluence field modulation, FFM...
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12/23/2022
On Design of Polyhedral Estimates in Linear Inverse Problems
Polyhedral estimate is a generic efficiently computable nonlinear in obs...
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10/23/2022
Stochastic Mirror Descent for Large-Scale Sparse Recovery
In this paper we discuss an application of Stochastic Approximation to s...
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07/16/2021
Aggregating estimates by convex optimization
We discuss the approach to estimate aggregation and adaptive estimation ...
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06/11/2020
Sparse recovery by reduced variance stochastic approximation
In this paper, we discuss application of iterative Stochastic Optimizati...
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03/29/2020
Convex Recovery of Marked Spatio-Temporal Point Processes
We present a multi-dimensional Bernoulli process model for spatial-tempo...
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03/29/2020
Convex Parameter Recovery for Interacting Marked Processes
We introduce a new general modeling approach for multivariate discrete e...
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10/30/2019
Unifying mirror descent and dual averaging
We introduce and analyse a new family of algorithms which generalizes an...
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07/05/2019
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method
We propose an approach to construction of robust non-Euclidean iterative...
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03/18/2019
Signal recovery by Stochastic Optimization
We discuss an approach to signal recovery in Generalized Linear Models (...
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06/11/2018
Adaptive Denoising of Signals with Shift-Invariant Structure
We study the problem of discrete-time signal denoising, following the li...
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04/01/2018
Near-Optimal Recovery of Linear and N-Convex Functions on Unions of Convex Sets
In this paper, following the line of research on "statistical inference ...
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04/01/2018
Near-Optimality Recovery of Linear and N-Convex Functions on Unions of Convex Sets
In this paper, following the line of research on "statistical inference ...
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03/17/2018
On Polyhedral Estimation of Signals via Indirect Observations
We consider the problem of recovering linear image of unknown signal bel...
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02/10/2013
Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization
Motivated by some applications in signal processing and machine learning...
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07/04/2012
On unified view of nullspace-type conditions for recoveries associated with general sparsity structures
We discuss a general notion of "sparsity structure" and associated recov...
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11/10/2011
Accuracy guaranties for ℓ_1 recovery of block-sparse signals
We introduce a general framework to handle structured models (sparse and...
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06/01/2011