Degrees of freedom for off-the-grid sparse estimation

8 Nov 2019Clarice PoonGabriel Peyré

A central question in modern machine learning and imaging sciences is to quantify the number of effective parameters of vastly over-parameterized models. The degrees of freedom is a mathematically convenient way to define this number of parameters... (read more)

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