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Regularized Linear Regression: A Precise Analysis of the Estimation Error
Published on Aug 20, 20152413 Views
Non-smooth regularized convex optimization procedures have emerged as a powerful tool to recover structured signals (sparse, low-rank, etc.) from (possibly compressed) noisy linear measurements. We fo
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Chapter list
Regularized Linear Regression: A Precise Analysis of the Estimation Error00:00
Setting - 100:14
Setting - 201:26
Contribution02:06
The Tool03:03
How it all works03:59
An example: Error vs λ04:45
Last one05:17
Merci!05:17