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20032026
most citedA framework to characterize performance of LASSO algorithms

99 citations · 428 across the 78 of their papers we have counts for

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Showing 2013 · cs.ITShow all

15 papers · 2 filters

cs.IT2013★ 1 cited

Lifting -optimization thresholds

Mihailo Stojnic

In this paper we look at a connection between the , optimization and under-determined linear systems of equations with sparse solutions. The case , or in…

cs.IT2013★ 1 cited

Under-determined linear systems and -optimization thresholds

Mihailo Stojnic

Recent studies of under-determined linear systems of equations with sparse solutions showed a great practical and theoretical efficiency of a particular technique called -o…

cs.IT2013

Lifting -optimization strong and sectional thresholds

Mihailo Stojnic

In this paper we revisit under-determined linear systems of equations with sparse solutions. As is well known, these systems are among core mathematical problems of a very popular…

cs.IT2013★ 2 cited

Compressed sensing of block-sparse positive vectors

Mihailo Stojnic

In this paper we revisit one of the classical problems of compressed sensing. Namely, we consider linear under-determined systems with sparse solutions. A substantial success in ma…

cs.IT2013★ 1 cited

Towards a better compressed sensing

Mihailo Stojnic

In this paper we look at a well known linear inverse problem that is one of the mathematical cornerstones of the compressed sensing field. In seminal works \cite{CRT,DOnoho06CS} $\…

cs.IT2013

Upper-bounding -optimization sectional thresholds

Mihailo Stojnic

In this paper we look at a particular problem related to under-determined linear systems of equations with sparse solutions. -minimization is a fairly successful polynomial…

cs.IT2013

Linear under-determined systems with sparse solutions: Redirecting a challenge?

Mihailo Stojnic

Seminal works \cite{CRT,DonohoUnsigned,DonohoPol} generated a massive interest in studying linear under-determined systems with sparse solutions. In this paper we give a short math…

cs.IT2013

A problem dependent analysis of SOCP algorithms in noisy compressed sensing

Mihailo Stojnic

Under-determined systems of linear equations with sparse solutions have been the subject of an extensive research in last several years above all due to results of \cite{CRT,CanRom…

cs.IT2013★ 11 cited

Meshes that trap random subspaces

Mihailo Stojnic

In our recent work \cite{StojnicCSetam09,StojnicUpper10} we considered solving under-determined systems of linear equations with sparse solutions. In a large dimensional and statis…

cs.IT2013★ 7 cited

A performance analysis framework for SOCP algorithms in noisy compressed sensing

Mihailo Stojnic

Solving under-determined systems of linear equations with sparse solutions attracted enormous amount of attention in recent years, above all, due to work of \cite{CRT,CanRomTao06,D…

cs.IT2013★ 3 cited

Optimality of -optimization block-length dependent thresholds

Mihailo Stojnic

The recent work of \cite{CRT,DonohoPol} rigorously proved (in a large dimensional and statistical context) that if the number of equations (measurements in the compressed sensing t…

cs.IT2013★ 8 cited

Regularly random duality

Mihailo Stojnic

In this paper we look at a class of random optimization problems. We discuss ways that can help determine typical behavior of their solutions. When the dimensions of the optimizati…

cs.IT2013★ 99 cited

A framework to characterize performance of LASSO algorithms

Mihailo Stojnic

In this paper we consider solving \emph{noisy} under-determined systems of linear equations with sparse solutions. A noiseless equivalent attracted enormous attention in recent yea…

cs.IT2013★ 10 cited

Upper-bounding -optimization weak thresholds

Mihailo Stojnic

In our recent work \cite{StojnicCSetam09} we considered solving under-determined systems of linear equations with sparse solutions. In a large dimensional and statistical context w…

cs.IT2013★ 9 cited

A rigorous geometry-probability equivalence in characterization of -optimization

Mihailo Stojnic

In this paper we consider under-determined systems of linear equations that have sparse solutions. This subject attracted enormous amount of interest in recent years primarily due…