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Impact of regularization on Spectral Clustering
Under the stochastic block model (SBM), and its extensions, previous results on spectral clustering relied on the minimum degree of the graph being sufficiently large for its good performance.
Lossy Compression via Sparse Linear Regression: Performance under Minimum-distance Encoding
We study a new class of codes for lossy compression with the squared-error distortion criterion, designed using the statistical framework of high-dimensional linear regression.
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