E-LIB Suche - Ergebnisse für: Donoho, David L.

1

Optimal Covariance Estimation for Condition Number Loss in ..:

Donoho, David ; Ghorbani, Behrooz
Econometrics and Statistics. , 2024

Link: https://doi.org/10.1016/..

2

Principled and interpretable alignability testing and integ..:

Ma, Rong ; Sun, Eric D. ; Donoho, David.
Proceedings of the National Academy of Sciences. 121 (2024) 10 - p. , 2024

Link: https://doi.org/10.1073/..

3

Introduction to the Special Issue on Harmonic Analysis and ..:

Donoho, David ; Mhaskar, Hrushikesh ; Zhou, Ding-Xuan
Applied and Computational Harmonic Analysis. 59 (2022) - p. 1-2 , 2022

Link: https://doi.org/10.1016/..

4

Data Come First: Discussion of "Co-citation and Co-authorsh..:

Donoho, David
Journal of Business & Economic Statistics. 40 (2022) 2 - p. 491-491 , 2022

Link: https://doi.org/10.1080/..

5

NUScon: a community-driven platform for quantitative evalua..:

Pustovalova, Yulia ; Delaglio, Frank ; Craft, D. Levi...
Magnetic Resonance. 2 (2021) 2 - p. 843-861 , 2021

Link: https://doi.org/10.5194/..

6

The science of deep learning:

Baraniuk, Richard ; Donoho, David ; Gavish, Matan
Proceedings of the National Academy of Sciences. 117 (2020) 48 - p. 30029-30032 , 2020

Link: https://doi.org/10.1073/..

7

Prevalence of neural collapse during the terminal phase of ..:

Papyan, Vardan ; Han, X. Y. ; Donoho, David L.
Proceedings of the National Academy of Sciences. 117 (2020) 40 - p. 24652-24663 , 2020

Link: https://doi.org/10.1073/..

8

The science of deep learning:

Baraniuk, Richard ; Donoho, David ; Gavish, Matan
Proceedings of the National Academy of Sciences of the United States of America. 117 (2020) 48 - p. 30029-30032 , 2020

Link: https://www.jstor.org/st..

9

Prevalence of neural collapse during the terminal phase of ..:

Papyan, Vardan ; Han, X. Y. ; Donoho, David L.
Proceedings of the National Academy of Sciences of the United States of America. 117 (2020) 40 - p. 24652-24663 , 2020

Link: https://www.jstor.org/st..

10

Sparsity/undersampling tradeoffs in anisotropic undersampli..:

Donoho, David L ; Monajemi, Hatef
Information and Inference: A Journal of the IMA. 8 (2018) 3 - p. 531-576 , 2018

Link: https://doi.org/10.1093/..

11

OPTIMAL SHRINKAGE OF EIGENVALUES IN THE SPIKED COVARIANCE M..:

Donoho, David ; Gavish, Matan ; Johnstone, Iain
The Annals of Statistics. 46 (2018) 4 - p. 1742-1778 , 2018

Link: https://www.jstor.org/st..

12

50 Years of Data Science:

Donoho, David
Journal of Computational and Graphical Statistics. 26 (2017) 4 - p. 745-766 , 2017

Link: https://doi.org/10.1080/..

13

50 Years of Data Science:

Donoho, David
Journal of Computational and Graphical Statistics. 26 (2017) 4 - p. 745-766 , 2017

Link: https://www.jstor.org/st..

14

Special Invited Paper: Higher Criticism for Large-Scale Inf..:

Donoho, David ; Jin, Jiashun
Statistical Science. 30 (2015) 1 - p. 1-25 , 2015

Link: http://www.jstor.org/sta..

15

High dimensional robust M-estimation: asymptotic variance v..:

Donoho, David ; Montanari, Andrea
Probability Theory and Related Fields. 166 (2015) 3-4 - p. 935-969 , 2015

Link: https://doi.org/10.1007/..