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Partial Recovery Bounds for the Sparse Stochastic Block Model

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities

\frac{a}{n}

and

\frac{b}{n}

respectively. We consider the ...

Ieee2016

Acquisition comprimée

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Clustering of heterogeneous networks with directional flows based on “Snake” similarities

MATHICSE Technical Report : Fast computation of spectral projectors of banded matrices

Partial Recovery Bounds for the Sparse Stochastic Block Model

200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising

Morphological component analysis for sparse regularization in plane wave imaging

Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames

An overview of robust compressive sensing of sparse signals in impulsive noise

Structure Modeling of High Dimensional Data

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

DASS: Distributed Adaptive Sparse Sensing

Structure Modeling of High Dimensional Data

200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

Partial Recovery Bounds for the Sparse Stochastic Block Model

Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames

An overview of robust compressive sensing of sparse signals in impulsive noise

MATHICSE Technical Report : Fast computation of spectral projectors of banded matrices

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Morphological component analysis for sparse regularization in plane wave imaging

DASS: Distributed Adaptive Sparse Sensing