Yariv Aizenbud
Yariv Aizenbud
Gibbs Assistant Professor, Yale University
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Randomized LU decomposition
G Shabat, Y Shmueli, Y Aizenbud, A Averbuch
Applied and Computational Harmonic Analysis 44 (2), 246-272, 2018
282018
PCA-based out-of-sample extension for dimensionality reduction
Y Aizenbud, A Bermanis, A Averbuch
arXiv preprint arXiv:1511.00831, 2015
172015
Matrix decompositions using sub-Gaussian random matrices
Y Aizenbud, A Averbuch
Information and Inference: A Journal of the IMA 8 (3), 445-469, 2019
132019
Randomized LU decomposition using sparse projections
Y Aizenbud, G Shabat, A Averbuch
Computers & Mathematics with Applications 72 (9), 2525-2534, 2016
122016
Multi-view kernel consensus for data analysis and signal processing
M Salhov, O Lindenbaum, A Silberschatz, Y Shkolnisky, A Averbuch
arXiv preprint arXiv:1606.08819, 2016
9*2016
A max-cut approach to heterogeneity in cryo-electron microscopy
Y Aizenbud, Y Shkolnisky
Journal of Mathematical Analysis and Applications 479 (1), 1004-1029, 2019
72019
Approximation of functions over manifolds: A moving least-squares approach
B Sober, Y Aizenbud, D Levin
arXiv preprint arXiv:1711.00765, 2017
72017
Rank-one multi-reference factor analysis
Y Aizenbud, B Landa, Y Shkolnisky
arXiv preprint arXiv:1905.12442, 2019
52019
Approximating the span of principal components via iterative least-squares
Y Aizenbud, B Sober
arXiv preprint arXiv:1907.12159, 2019
42019
Multi-view kernel consensus for data analysis
M Salhov, O Lindenbaum, Y Aizenbud, A Silberschatz, Y Shkolnisky, ...
Applied and Computational Harmonic Analysis, 2019
22019
Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic
DM Kluger, Y Aizenbud, A Jaffe, F Parisi, L Aizenbud, E Minsky-Fenick, ...
Infection Control & Hospital Epidemiology, 1-3, 2020
2020
Random Projections for Matrix Decomposition and Manifold Learning
Y Aizenbud
JYU dissertations, 2019
2019
Similarity search over graphs using localized spectral analysis
Y Aizenbud, A Averbuch, G Shabat, G Ziv
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
2017
Classical Numerical Methods for Eigen Decomposition
Y Aizenbud
2017
The system can't perform the operation now. Try again later.
Articles 1–14