Concepedia

Michael Celentano

MC

Statistics

Publications

6

Citations

165

H-Index

6

Active since

2020

Affiliations

University of California, Berkeley(Current)

Stanford University

Michael Celentano is an author at University of California, Berkeley specializing in asymptotic theory, high-dimensional statistics, and high-dimensional regression.

Publications per year

2020–2023

6

Publications

6

Fundamental barriers to high-dimensional regression with convex penalties

Michael Celentano, Andrea Montanari · The Annals of Statistics · 2022 · 46 citations

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The Lasso with general Gaussian designs with applications to hypothesis testing

Michael Celentano, Andrea Montanari, Yuting Wei · arXiv (Cornell University) · 2020 · 44 citations · Full text

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The Lasso with general Gaussian designs with applications to hypothesis testing

Michael Celentano, Andrea Montanari, Yuting Wei · The Annals of Statistics · 2023 · 30 citations

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The estimation error of general first order methods

Michael Celentano, Andrea Montanari, Yuchen Wu · arXiv (Cornell University) · 2020 · 15 citations · Full text

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The high-dimensional asymptotics of first order methods with random data

Michael Celentano, Cheng Chen, Andrea Montanari · arXiv (Cornell University) · 2021 · 15 citations · Full text

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