
New challenges in covariance estimation: multiple structures and coarse quantization
In this selfcontained chapter, we revisit a fundamental problem of mult...
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Covariance estimation under onebit quantization
We consider the classical problem of estimating the covariance matrix of...
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Robust Sensing of LowRank Matrices with NonOrthogonal Sparse Decomposition
We consider the problem of recovering an unknown lowrank matrix X with ...
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Structural Sparsity in Multiple Measurements
We propose a novel sparsity model for distributed compressed sensing in ...
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Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
We provide an explicit analysis of the dynamics of vanilla gradient desc...
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Quantized Compressed Sensing by Rectified Linear Units
This work is concerned with the problem of recovering highdimensional s...
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Linear convergence and support recovery for nonconvex multipenalty regularization
We provide a comprehensive convergence study of the iterative multipena...
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On Recovery Guarantees for OneBit Compressed Sensing on Manifolds
This paper studies the problem of recovering a signal from onebit compr...
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Analysis of HardThresholding for Distributed Compressed Sensing with OneBit Measurements
A simple hardthresholding operation is shown to be able to recover L si...
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Johannes Maly
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