Andrea Montanari

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Adel JavanmardProfessor, University of Southern CaliforniaE-mail confirmado em usc.edu
Song MeiAssistant Professor at UC BerkeleyE-mail confirmado em berkeley.edu
Ruediger UrbankeEPFLE-mail confirmado em epfl.ch
David DonohoProfessor f Statistics, Stanford UniversityE-mail confirmado em stanford.edu
Mohsen BayatiProfessor, Stanford UniversityE-mail confirmado em stanford.edu
sewoong ohProfessor, University of WashingtonE-mail confirmado em cs.washington.edu
Marc MezardBocconi University MilanoE-mail confirmado em unibocconi.it
Theodor MisiakiewiczAssistant Professor, Yale UniversityE-mail confirmado em yale.edu
Arian MalekiColumbia UniversityE-mail confirmado em stat.columbia.edu
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaE-mail confirmado em roma1.infn.it
Yash DeshpandeMember of Research Staff, VoleonE-mail confirmado em voleon.com
Raghunandan KeshavanElectrical Engineering, Stanford UniveristyE-mail confirmado em stanford.edu
Guilhem SemerjianLPT-ENSE-mail confirmado em lpt.ens.fr
"Yashodhan Kanoria" OR "Yash Kanor...Columbia Business SchoolE-mail confirmado em columbia.edu
Behrooz GhorbaniResearcher, OpenAIE-mail confirmado em stanford.edu
Amin SaberiProfessor, Stanford UniversityE-mail confirmado em stanford.edu
amir demboprofessor of mathematics and statistics, stanford universityE-mail confirmado em stat.stanford.edu
Abdelaziz AmraouiE-mail confirmado em theaagroup.ch
Phan-Minh NguyenThe Voleon GroupE-mail confirmado em alumni.stanford.edu
Emmanuel AbbeProfessor EPFL, Senior Research Scientist AppleE-mail confirmado em epfl.ch

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Andrea Montanari

Professor of Statistics and Mathematics, Stanford University

E-mail confirmado em stanford.edu - Página inicial

statistics machine learning probability theory information theory signal processing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Message-passing algorithms for compressed sensing DL Donoho, A Maleki, A Montanari Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009	2660	2009
Information, physics, and computation M Mezard, A Montanari Oxford University Press, USA, 2009	2484	2009
Matrix completion from a few entries RH Keshavan, A Montanari, S Oh Information Theory, IEEE Transactions on 56 (6), 2980-2998, 2010	1562	2010
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	1194	2011
Confidence intervals and hypothesis testing for high-dimensional regression A Javanmard, A Montanari The Journal of Machine Learning Research 15 (1), 2869-2909, 2014	1099	2014
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	951	2018
Surprises in high-dimensional ridgeless least squares interpolation T Hastie, A Montanari, S Rosset, RJ Tibshirani Annals of statistics 50 (2), 949, 2022	912	2022
Matrix completion from noisy entries RH Keshavan, A Montanari, S Oh The Journal of Machine Learning Research 11, 2057-2078, 2010	878	2010
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	790	2022
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	676	2022
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	592	2010
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	542	2007
The spread of innovations in social networks A Montanari, A Saberi Proceedings of the National Academy of Sciences 107 (47), 20196-20201, 2010	490	2010
The LASSO risk for Gaussian matrices M Bayati, A Montanari IEEE Transactions on Information Theory 58 (4), 1997-2017, 2011	379	2011
The landscape of empirical risk for nonconvex losses S Mei, Y Bai, A Montanari The Annals of Statistics 46 (6A), 2747-2774, 2018	376	2018
Deep learning: a statistical viewpoint PL Bartlett, A Montanari, A Rakhlin Acta numerica 30, 87-201, 2021	357	2021
The noise-sensitivity phase transition in compressed sensing DL Donoho, A Maleki, A Montanari IEEE Transactions on Information Theory 57 (10), 6920-6941, 2011	323	2011
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	319	2019
Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing DL Donoho, A Javanmard, A Montanari Information Theory, IEEE Transactions on 59 (11), 7434-7464, 2013	314	2013
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	310	2013

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