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stat.ML2021★ 1 cited
Smooth Bilevel Programming for Sparse Regularization
Clarice Poon, Gabriel Peyré
Iteratively reweighted least square (IRLS) is a popular approach to solve sparsity-enforcing regression problems in machine learning. State of the art approaches are more efficient…
stat.ML2019★ 1 cited
Degrees of freedom for off-the-grid sparse estimation
Clarice Poon, Gabriel 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…