Mihailo Stojnic

According to our database1, Mihailo Stojnic authored at least 75 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exact objectives of random linear programs and mean widths of random polyhedrons.
CoRR, 2024

Capacity of the Hebbian-Hopfield network associative memory.
CoRR, 2024

Exact capacity of the \emph{wide} hidden layer treelike neural networks with generic activations.
CoRR, 2024

Fixed width treelike neural networks capacity analysis - generic activations.
CoRR, 2024

Exact Error in Matrix Completion: Approximately Low-Rank Structures and Missing Blocks.
CoRR, 2024

2023
Fl RDT based ultimate lowering of the negative spherical perceptron capacity.
CoRR, 2023

\emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike \emph{sign} perceptrons neural networks.
CoRR, 2023

Capacity of the treelike sign perceptrons neural networks with one hidden layer - RDT based upper bounds.
CoRR, 2023

Binary perceptrons capacity via fully lifted random duality theory.
CoRR, 2023

Studying Hopfield models via fully lifted random duality theory.
CoRR, 2023

Fully lifted random duality theory.
CoRR, 2023

Generic proving of replica symmetry breaking.
CoRR, 2023

Bilinearly indexed random processes - stationarization of fully lifted interpolation.
CoRR, 2023

Fully lifted interpolating comparisons of bilinearly indexed random processes.
CoRR, 2023

Causal Inference (C-inf) - asymmetric scenario of typical phase transitions.
CoRR, 2023

Causal Inference (C-inf) - closed form worst case typical phase transitions.
CoRR, 2023

Phase Transitions: Explicit relations for sparse vector and low rank recovery.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Causal Inference - closed form expressions for worst case typical phase transitions.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2020
Sparse linear regression - CLuP achieves the ideal \emph{exact} ML.
CoRR, 2020

Rephased CLuP.
CoRR, 2020

Algorithmic random duality theory - large scale CLuP.
CoRR, 2020

2019
Starting CLuP with polytope relaxation.
CoRR, 2019

Complexity analysis of the Controlled Loosening-up (CLuP) algorithm.
CoRR, 2019

Controlled Loosening-up (CLuP) - achieving exact MIMO ML in polynomial time.
CoRR, 2019

2016
Fully bilinear generic and lifted random processes comparisons.
CoRR, 2016

Generic and lifted probabilistic comparisons - max replaces minmax.
CoRR, 2016

Partial l<sub>1</sub> optimization in random linear systems - finite dimensions.
CoRR, 2016

Partial l<sub>1</sub> optimization in random linear systems - phase transitions and large deviations.
CoRR, 2016

Box constrained l<sub>1</sub> optimization in random linear systems - finite dimensions.
CoRR, 2016

Box constrained l<sub>1</sub> optimization in random linear systems - asymptotics.
CoRR, 2016

Random linear under-determined systems with block-sparse solutions - asymptotics, large deviations, and finite dimensions.
CoRR, 2016

Random linear systems with sparse solutions - finite dimensions.
CoRR, 2016

2013
A problem dependent analysis of SOCP algorithms in noisy compressed sensing
CoRR, 2013

Linear under-determined systems with sparse solutions: Redirecting a challenge?
CoRR, 2013

Meshes that trap random subspaces
CoRR, 2013

A performance analysis framework for SOCP algorithms in noisy compressed sensing
CoRR, 2013

Optimality of ℓ<sub>2</sub>/ℓ<sub>1</sub>-optimization block-length dependent thresholds
CoRR, 2013

Regularly random duality
CoRR, 2013

A framework to characterize performance of LASSO algorithms
CoRR, 2013

Upper-bounding ℓ<sub>1</sub>-optimization weak thresholds
CoRR, 2013

A rigorous geometry-probability equivalence in characterization of ℓ<sub>1</sub>-optimization
CoRR, 2013

Lifting/lowering Hopfield models ground state energies.
CoRR, 2013

Bounds on restricted isometry constants of random matrices.
CoRR, 2013

Bounding ground state energy of Hopfield models.
CoRR, 2013

Compressed sensing of block-sparse positive vectors.
CoRR, 2013

Lifting ℓ<sub>q</sub>-optimization thresholds.
CoRR, 2013

Towards a better compressed sensing.
CoRR, 2013

Upper-bounding ℓ<sub>1</sub>-optimization sectional thresholds.
CoRR, 2013

Under-determined linear systems and ℓ<sub>q</sub>-optimization thresholds.
CoRR, 2013

Lifting ℓ<sub>1</sub>-optimization strong and sectional thresholds.
CoRR, 2013

2010
<sub>2</sub>/ <sub>1</sub> -Optimization in Block-Sparse Compressed Sensing and Its Strong Thresholds.
IEEE J. Sel. Top. Signal Process., 2010

Recovery thresholds for ℓ1 optimization in binary compressed sensing.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Towards improving <i>l</i>1 optimization in compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

A smoothed analysis approach to <i>l</i>1 optimization in compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

Block-length dependent thresholds for <i>l</i>2/<i>l</i>1-optimization in block-sparse compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

<i>l</i>1 optimization and its various thresholds in compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
On the reconstruction of block-sparse signals with an optimal number of measurements.
IEEE Trans. Signal Process., 2009

Block-length dependent thresholds in block-sparse compressed sensing
CoRR, 2009

Various thresholds for ℓ<sub>1</sub>-optimization in compressed sensing
CoRR, 2009

Explicit thresholds for approximately sparse compressed sensing via ℓ1-optimization.
Proceedings of the IEEE International Symposium on Information Theory, 2009

ℓ2/ℓ1-optimization and its strong thresholds in approximately block-sparse compressed sensing.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Strong thresholds for <i>l</i>2/<i>l</i>1-optimization in block-sparse compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

A simple performance analysis of <i>l</i>1 optimization in compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Speeding up the Sphere Decoder With H<sup>infty</sup> and SDP Inspired Lower Bounds.
IEEE Trans. Signal Process., 2008

ON exact maximum-likelihood detection for non-coherent MIMO wireless systems: A branch-estimate-bound optimization framework.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Compressed sensing of approximately sparse signals.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations.
Proceedings of the IEEE International Conference on Acoustics, 2008

Compressed sensing - probabilistic analysis of a null-space characterization.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
PEP analysis of SDP-based non-coherent signal detection.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Unambiguous discrimination between two rank-2 mixed quantum states.
Proceedings of the IEEE International Symposium on Information Theory, 2007

PEP Analysis of the SDP Based Joint Channel Estimation and Signal Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Rate maximization in multi-antenna broadcast channels with linear preprocessing.
IEEE Trans. Wirel. Commun., 2006

Asymptotic Analysis of the Gaussian Broadcast Channel with Perturbation Preprocessing.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Further Results on Speeding up the Sphere Decoder.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
A branch and bound approach to speed up the sphere decoder.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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