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Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning

arXiv 1301.5898 ↗First posted 24 Jan 2013cs.IT cond-mat.stat-mech cs.LGcited by 6

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Abstract (arXiv)

We consider dictionary learning and blind calibration for signals and matrices created from a random ensemble. We study the mean-squared error in the limit of large signal dimension using the replica method and unveil the appearance of phase transitions delimiting impossible, possible-but-hard and possible inference regions. We also introduce an approximate message passing algorithm that asymptotically matches the theoretical performance, and show through numerical tests that it performs very well, for the calibration problem, for tractable system sizes.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jan 2013.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 3.

6 papers.