Andrea Montanari

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Song MeiAssistant Professor at UC BerkeleyVerificeret mail på berkeley.edu
Adel JavanmardProfessor, University of Southern CaliforniaVerificeret mail på usc.edu
Ruediger UrbankeEPFLVerificeret mail på epfl.ch
David DonohoProfessor f Statistics, Stanford UniversityVerificeret mail på stanford.edu
Mohsen BayatiProfessor, Stanford UniversityVerificeret mail på stanford.edu
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonVerificeret mail på cs.washington.edu
Marc MezardBocconi University MilanoVerificeret mail på unibocconi.it
Theodor MisiakiewiczAssistant Professor, Yale UniversityVerificeret mail på yale.edu
Arian MalekiColumbia UniversityVerificeret mail på stat.columbia.edu
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaVerificeret mail på roma1.infn.it
Yash DeshpandeMember of Research Staff, VoleonVerificeret mail på voleon.com
Raghunandan KeshavanElectrical Engineering, Stanford UniveristyVerificeret mail på stanford.edu
Guilhem SemerjianLPT-ENSVerificeret mail på lpt.ens.fr
"Yashodhan Kanoria" OR "Yash Kanor...Columbia Business SchoolVerificeret mail på columbia.edu
Behrooz GhorbaniResearcher, OpenAIVerificeret mail på stanford.edu
Amin SaberiProfessor, Stanford UniversityVerificeret mail på stanford.edu
amir demboprofessor of mathematics and statistics, stanford universityVerificeret mail på stat.stanford.edu
Phan-Minh NguyenThe Voleon GroupVerificeret mail på alumni.stanford.edu
Abdelaziz AmraouiVerificeret mail på theaagroup.ch
Emmanuel AbbeProfessor EPFL, Senior Research Scientist AppleVerificeret mail på epfl.ch

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Andrea Montanari

John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University

Verificeret mail på stanford.edu - Startside

statistics machine learning probability theory information theory signal processing


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Message-passing algorithms for compressed sensing DL Donoho, A Maleki, A Montanari Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009	2705	2009
Information, physics, and computation M Mezard, A Montanari Oxford University Press, USA, 2009	2538	2009
Matrix completion from a few entries RH Keshavan, A Montanari, S Oh Information Theory, IEEE Transactions on 56 (6), 2980-2998, 2010	1585	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	1221	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	1124	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	996	2018
Surprises in high-dimensional ridgeless least squares interpolation T Hastie, A Montanari, S Rosset, RJ Tibshirani Annals of statistics 50 (2), 949, 2022	973	2022
Matrix completion from noisy entries RH Keshavan, A Montanari, S Oh The Journal of Machine Learning Research 11, 2057-2078, 2010	888	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	826	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	722	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	606	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	550	2007
The spread of innovations in social networks A Montanari, A Saberi Proceedings of the National Academy of Sciences 107 (47), 20196-20201, 2010	497	2010
Deep learning: a statistical viewpoint PL Bartlett, A Montanari, A Rakhlin Acta numerica 30, 87-201, 2021	387	2021
The landscape of empirical risk for nonconvex losses S Mei, Y Bai, A Montanari The Annals of Statistics 46 (6A), 2747-2774, 2018	386	2018
The LASSO risk for Gaussian matrices M Bayati, A Montanari IEEE Transactions on Information Theory 58 (4), 1997-2017, 2011	384	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	336	2019
The noise-sensitivity phase transition in compressed sensing DL Donoho, A Maleki, A Montanari IEEE Transactions on Information Theory 57 (10), 6920-6941, 2011	325	2011
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	321	2013
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	318	2013

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