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David L. Donoho

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Statistics
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Parents

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Peter Jost Huber grad student 1983 (Neurotree)

Children

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Jianqing Fan grad student 1989
Emmanuel Candès grad student 1998 Stanford
Carrie E. Grimes grad student 2003 Stanford
Jiashun Jin grad student 2003 Stanford
Ery Arias-Castro grad student 2004 Stanford
Ofer Levi grad student 2005 Stanford
Inam U. Rahman grad student 2006 Stanford
Victoria Stodden grad student 2006 Stanford
Yaakov Tsaig grad student 2007 Stanford
Jared Tanner post-doc (Neurotree)

Collaborators

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Darrell D. E. Long collaborator (Computer Science Tree)
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Publications

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Gavish M, Donoho DL. (2017) Optimal Shrinkage of Singular Values Ieee Transactions On Information Theory. 63: 2137-2152
Donoho DL, Montanari A. (2016) High dimensional robust M-estimation: asymptotic variance via approximate message passing Probability Theory and Related Fields. 166: 935-969
Donoho DL, Jin J. (2015) Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects Statistical Science. 30: 1-25
Donoho DL, Gavish M. (2014) Minimax risk of matrix denoising by singular value thresholding Annals of Statistics. 42: 2413-2440
Gavish M, Donoho DL. (2014) The optimal hard threshold for singular values is 4/√3 Ieee Transactions On Information Theory. 60: 5040-5053
Donoho DL, Gavish M, Montanari A. (2013) The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising. Proceedings of the National Academy of Sciences of the United States of America. 110: 8405-10
Monajemi H, Jafarpour S, Gavish M, et al. (2013) Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices. Proceedings of the National Academy of Sciences of the United States of America. 110: 1181-6
Donoho DL, Javanmard A, Montanari A. (2013) Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing Ieee Transactions On Information Theory. 59: 7434-7464
Donoho DL, Johnstone I, Montanari A. (2013) Accurate prediction of phase transitions in compressed sensing via a connection to minimax denoising Ieee Transactions On Information Theory. 59: 3396-3433
Starck JL, Donoho DL, Fadili MJ, et al. (2013) Sparsity and the Bayesian perspective Astronomy and Astrophysics. 552
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