دنبال کردن
Andrea Montanari
Andrea Montanari
John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University
ایمیل تأیید شده در stanford.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Message-passing algorithms for compressed sensing‏
DL Donoho, A Maleki, A Montanari‏
Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009‏
27202009
Information, physics, and computation‏
M Mezard, A Montanari‏
Oxford University Press, USA, 2009‏
25552009
Matrix completion from a few entries‏
RH Keshavan, A Montanari, S Oh‏
Information Theory, IEEE Transactions on 56 (6), 2980-2998, 2010‏
15902010
The dynamics of message passing on dense graphs, with applications to compressed sensing‏
M Bayati, A Montanari‏
Information Theory, IEEE Transactions on 57 (2), 764-785, 2011‏
12242011
Confidence intervals and hypothesis testing for high-dimensional regression‏
A Javanmard, A Montanari‏
The Journal of Machine Learning Research 15 (1), 2869-2909, 2014‏
11292014
A mean field view of the landscape of two-layer neural networks‏
S Mei, A Montanari, PM Nguyen‏
Proceedings of the National Academy of Sciences 115 (33), E7665-E7671, 2018‏
10062018
Surprises in high-dimensional ridgeless least squares interpolation‏
T Hastie, A Montanari, S Rosset, RJ Tibshirani‏
Annals of statistics 50 (2), 949, 2022‏
9902022
Matrix completion from noisy entries‏
RH Keshavan, A Montanari, S Oh‏
The Journal of Machine Learning Research 11, 2057-2078, 2010‏
8902010
Underspecification presents challenges for credibility in modern machine learning‏
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...‏
Journal of Machine Learning Research 23 (226), 1-61, 2022‏
8352022
The generalization error of random features regression: Precise asymptotics and the double descent curve‏
S Mei, A Montanari‏
Communications on Pure and Applied Mathematics 75 (4), 667-766, 2022‏
7362022
Message passing algorithms for compressed sensing: I. motivation and construction‏
DL Donoho, A Maleki, A Montanari‏
2010 IEEE information theory workshop on information theory (ITW 2010, Cairo …, 2010‏
6112010
Gibbs states and the set of solutions of random constraint satisfaction problems‏
F Krzakała, A Montanari, F Ricci-Tersenghi, G Semerjian, L Zdeborová‏
Proceedings of the National Academy of Sciences 104 (25), 10318, 2007‏
5512007
The spread of innovations in social networks‏
A Montanari, A Saberi‏
Proceedings of the National Academy of Sciences 107 (47), 20196-20201, 2010‏
5012010
Deep learning: a statistical viewpoint‏
PL Bartlett, A Montanari, A Rakhlin‏
Acta numerica 30, 87-201, 2021‏
3922021
The landscape of empirical risk for nonconvex losses‏
S Mei, Y Bai, A Montanari‏
The Annals of Statistics 46 (6A), 2747-2774, 2018‏
3882018
The LASSO risk for Gaussian matrices‏
M Bayati, A Montanari‏
IEEE Transactions on Information Theory 58 (4), 1997-2017, 2011‏
3862011
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit‏
S Mei, T Misiakiewicz, A Montanari‏
Conference on learning theory, 2388-2464, 2019‏
3392019
The noise-sensitivity phase transition in compressed sensing‏
DL Donoho, A Maleki, A Montanari‏
IEEE Transactions on Information Theory 57 (10), 6920-6941, 2011‏
3252011
State evolution for general approximate message passing algorithms, with applications to spatial coupling‏
A Javanmard, A Montanari‏
Information and Inference: A Journal of the IMA 2 (2), 115-144, 2013‏
3242013
A statistical model for tensor PCA‏
A Montanari, E Richard‏
Advances in Neural Information Processing Systems, 2897-2905, 2014‏
321*2014
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20