Andrea Montanari

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Adel JavanmardAssociate Professor, University of Southern CaliforniaEmail verificata su marshall.usc.edu
Ruediger UrbankeEPFLEmail verificata su epfl.ch
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonEmail verificata su cs.washington.edu
Mohsen BayatiAssociate Professor, Stanford UniversityEmail verificata su stanford.edu
Song MeiAssistant Professor at UC BerkeleyEmail verificata su berkeley.edu
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaEmail verificata su roma1.infn.it
Arian MalekiColumbia UniversityEmail verificata su stat.columbia.edu
Yash DeshpandeMember of Research Staff, Voleon (Typical Set, LLC)Email verificata su mit.edu
Marc MezardEcole normale supérieure ParisEmail verificata su ens.fr
Raghunandan KeshavanElectrical Engineering, Stanford UniveristyEmail verificata su stanford.edu
Guilhem SemerjianLPT-ENSEmail verificata su lpt.ens.fr
"Yashodhan Kanoria" OR "Yash Kanor...Columbia Business SchoolEmail verificata su columbia.edu
Theodor MisiakiewiczGraduate student, Stanford UniversityEmail verificata su stanford.edu
Amin SaberiProfessor, Stanford UniversityEmail verificata su stanford.edu
Balaji PrabhakarEmail verificata su stanford.edu
Abdelaziz Amraouiprofesseur de littérature française, Université Cadi Ayyad, Marrakech, SafiEmail verificata su uca.ac.ma
Yi LuProfessor of Electrical and Computer Engineering, University of IllinoisEmail verificata su illinois.edu
Stratis IoannidisNortheastern UniversityEmail verificata su neu.edu
Phan-Minh NguyenThe Voleon GroupEmail verificata su alumni.stanford.edu
Behrooz GhorbaniSoftware Engineer, Google ResearchEmail verificata su stanford.edu

Andrea Montanari

Professor of Electrical Engineering and Statistics, Stanford University

Email verificata su stanford.edu - Home page

statistics machine learning probability theory information theory signal processing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Message-passing algorithms for compressed sensing DL Donoho, A Maleki, A Montanari Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009	1917	2009
Information, physics, and computation M Mezard, A Montanari Oxford University Press, USA, 2009	1887	2009
Matrix completion from a few entries RH Keshavan, A Montanari, S Oh Information Theory, IEEE Transactions on 56 (6), 2980-2998, 2010	1315	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	827	2011
Matrix completion from noisy entries RH Keshavan, A Montanari, S Oh The Journal of Machine Learning Research 11, 2057-2078, 2010	759	2010
Confidence intervals and hypothesis testing for high-dimensional regression A Javanmard, A Montanari The Journal of Machine Learning Research 15 (1), 2869-2909, 2014	710	2014
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	454	2007
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	407	2010
The spread of innovations in social networks A Montanari, A Saberi Proceedings of the National Academy of Sciences 107 (47), 20196-20201, 2010	401	2010
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	396	2018
Surprises in high-dimensional ridgeless least squares interpolation T Hastie, A Montanari, S Rosset, RJ Tibshirani arXiv preprint arXiv:1903.08560, 2019	283	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	277	2011
The LASSO risk for Gaussian matrices M Bayati, A Montanari IEEE Transactions on Information Theory 58 (4), 1997-2017, 2011	257	2011
Counter braids: a novel counter architecture for per-flow measurement Y Lu, A Montanari, B Prabhakar, S Dharmapurikar, A Kabbani ACM SIGMETRICS Performance Evaluation Review 36 (1), 121-132, 2008	252	2008
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	247	2013
The landscape of empirical risk for nonconvex losses S Mei, Y Bai, A Montanari The Annals of Statistics 46 (6A), 2747-2774, 2018	219	2018
Graphical models concepts in compressed sensing. A Montanari, YC Eldar, G Kutyniok Compressed Sensing, 394-438, 2012	213	2012
Rigorous inequalities between length and time scales in glassy systems A Montanari, G Semerjian Journal of statistical physics 125 (1), 23-54, 2006	205	2006
The Generalization Error of Random Features Regression: Precise Asymptotics and the Double Descent Curve S Mei, A Montanari Communications on Pure and Applied Mathematics, 2019	204	2019
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	187	2013

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