Andrea Montanari

 

Associate Professor,
Department of Electrical Engineering and
Department of Statistics,
Stanford University

Contact

Packard 272, Stanford, CA 94304
Tel: (650) 736-7422
Fax: (650) 723-8473
montanari@stanford.edu

Some recent papers

D. Donoho and A. Montanari, High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing, 2013

A. Javanmard and A. Montanari, Confidence Intervals and Hypothesis Testing for High-Dimensional Regression, 2013

Y. Deshpande and A. Montanari, Finding Hidden Cliques of Size sqrt{N/e} in Nearly Linear Time, 2013

D.L. Donoho, M. Gavish and A.Montanari The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising, Proc. Natl. Acad. Sci. 2013

A. Javanmard and A. Montanari, Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory, 2013

Y. Deshpande and A. Montanari, Linear Bandits in High Dimension and Recommendation Systems, 2012

M. Bayati, M. Lelarge and A. Montanari, Universality in Polytope Phase Transitions and Message Passing Algorithms, 2012

D. Donoho, A. Javanmard and A. Montanari, Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing, 2011 (related numerical simulations)

D. Donoho, I. Johnstone and A. Montanari, Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising, 2011

A. Dembo, A. Montanari and N. Sun, Factor models on locally tree-like graphs, 2011

A. Montanari. Graphical Models Concepts in Compressed Sensing, 2010

A. Montanari and A. Saberi, The Spread of Innovations in Social Networks, Proc. Natl. Acad. Sci., 2010 (conference version FOCS 2009)

D.L. Donoho, A. Maleki, and A. Montanari. Message passing algorithms for compressed sensing, Proc. Natl Acad. Sci., 2009