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Penalized least squares estimation is a popular technique in high-dimensional statistics.
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Probability in Banach Spaces
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Oracle inequalities and optimal inference under group sparsity
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Concentration inequalities
S. Boucheron, G. Lugosi, and P. Massart · 2013
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The geometry of least squares in the 21st century
J. Taylor · 2013
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Introduction to High-dimensional Statistics
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A remark on the diameter of random sections of convex bodies
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Convex Optimization in Normed Spaces: Theory, Methods and Examples
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Model selection with low complexity priors
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Slope meets Lasso: improved oracle bounds and optimality
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Regularization and the small ball method I: sparse recovery
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Upper and lower bounds for stochastic processes
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On the gap between RIP-properties and sparse recovery conditions
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