The lasso with general gaussian designs with applications to hypothesis testing M Celentano, A Montanari, Y Wei
The Annals of Statistics 51 (5), 2194-2220, 2023
118 2023 Fundamental barriers to high-dimensional regression with convex penalties M Celentano, A Montanari
The Annals of Statistics 50 (1), 170-196, 2022
73 2022 The estimation error of general first order methods M Celentano, A Montanari, Y Wu
Conference on Learning Theory, 1078-1141, 2020
72 2020 The high-dimensional asymptotics of first order methods with random data M Celentano, C Cheng, A Montanari
arXiv preprint arXiv:2112.07572, 2021
59 2021 Local convexity of the TAP free energy and AMP convergence for M Celentano, Z Fan, S Mei
The Annals of Statistics 51 (2), 519-546, 2023
40 2023 Sudakov–Fernique post-AMP, and a new proof of the local convexity of the TAP free energy M Celentano
The Annals of Probability 52 (3), 923-954, 2024
29 2024 CAD: Debiasing the Lasso with inaccurate covariate model M Celentano, A Montanari
arXiv preprint arXiv:2107.14172, 2021
13 2021 Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models M Celentano, Z Fan, L Lin, S Mei
arXiv preprint arXiv:2311.08442, 2023
9 2023 Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences M Celentano
Information and Inference: A Journal of the IMA 10 (3), 1105-1165, 2021
8 2021 Minimum complexity interpolation in random features models M Celentano, T Misiakiewicz, A Montanari
arXiv preprint arXiv:2103.15996, 2021
8 2021 Challenges of the inconsistency regime: Novel debiasing methods for missing data models M Celentano, MJ Wainwright
arXiv preprint arXiv:2309.01362, 2023
7 2023 Maximum mean discrepancy meets neural networks: The radon-kolmogorov-smirnov test S Paik, M Celentano, A Green, RJ Tibshirani
arXiv preprint arXiv:2309.02422, 2023
5 2023 Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model M Celentano, A Montanari
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024
3 2024 Exact and efficient phylodynamic simulation from arbitrarily large populations M Celentano, WS DeWitt, S Prillo, YS Song
ArXiv, arXiv: 2402.17153 v2, 2024
3 2024 Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test S Paik, M Celentano, A Green, RJ Tibshirani
2025 THE ANNALS PC BELLEC, C ZHANG, A FINKE, AH THIERY, A ROHDE, ...
The Annals of Statistics 51 (2), 2023
2023 Topics in Exact Asymptotics for High-Dimensional Regression M Celentano
Stanford University, 2021
2021 