Robust 1-bit compressed sensing via hinge loss minimization

DOI10.1093/imaiai/iaz010zbMath1470.94041arXiv1804.04846OpenAlexW2798157611MaRDI QIDQ5006524

Martin Genzel, Alexander Stollenwerk

Publication date: 16 August 2021

Published in: Information and Inference: A Journal of the IMA (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1804.04846

zbMATH Keywords

Gaussian widthhinge loss1-bit compressed sensingMendelson's small ball methodstructured empirical risk minimization

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

A unified approach to uniform signal recovery from nonlinear observations ⋮ Adaptive iterative hard thresholding for least absolute deviation problems with sparsity constraints ⋮ Covariance estimation under one-bit quantization

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