43 citations · 90 across the 13 of their papers we have counts for
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math.ST2020★ 43 cited
The Lasso with general Gaussian designs with applications to hypothesis testing
Michael Celentano, Andrea Montanari, Yuting Wei
The Lasso is a method for high-dimensional regression, which is now commonly used when the number of covariates is of the same order or larger than the number of observations $…
stat.ML2020★ 15 cited
The estimation error of general first order methods
Michael Celentano, Andrea Montanari, Yuchen Wu
Modern large-scale statistical models require to estimate thousands to millions of parameters. This is often accomplished by iterative algorithms such as gradient descent, projecte…