Yariv Aizenbud
Yariv Aizenbud
Gibbs Assistant Professor, Yale University
Verified email at yale.edu - Homepage
Cited by
Cited by
Randomized LU decomposition
G Shabat, Y Shmueli, Y Aizenbud, A Averbuch
Applied and Computational Harmonic Analysis 44 (2), 246-272, 2018
PCA-based out-of-sample extension for dimensionality reduction
Y Aizenbud, A Bermanis, A Averbuch
arXiv preprint arXiv:1511.00831, 2015
Matrix decompositions using sub-Gaussian random matrices
Y Aizenbud, A Averbuch
Information and Inference: A Journal of the IMA 8 (3), 445-469, 2019
Randomized LU decomposition using sparse projections
Y Aizenbud, G Shabat, A Averbuch
Computers & Mathematics with Applications 72 (9), 2525-2534, 2016
Multi-view kernel consensus for data analysis
M Salhov, O Lindenbaum, Y Aizenbud, A Silberschatz, Y Shkolnisky, ...
Applied and Computational Harmonic Analysis, 2019
Approximation of functions over manifolds: A moving least-squares approach
B Sober, Y Aizenbud, D Levin
Journal of Computational and Applied Mathematics, 2020
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
Rank-one multi-reference factor analysis
Y Aizenbud, B Landa, Y Shkolnisky
Statistics and Computing 31 (1), 1-31, 2021
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 41 (12), 1443-1445, 2020
Approximating the span of principal components via iterative least-squares
Y Aizenbud, B Sober
arXiv preprint arXiv:1907.12159, 2019
Spectral Neighbor Joining for Reconstruction of Latent Tree Models
A Jaffe, N Amsel, Y Aizenbud, B Nadler, JT Chang, Y Kluger
SIAM Journal on Mathematics of Data Science 3 (1), 113-141, 2021
Non-Parametric Estimation of Manifolds from Noisy Data
Y Aizenbud, B Sober
arXiv preprint arXiv:2105.04754, 2021
Spectral Top-Down Recovery of Latent Tree Models
Y Aizenbud, A Jaffe, M Wang, A Hu, N Amsel, B Nadler, JT Chang, ...
arXiv preprint arXiv:2102.13276, 2021
Spectral neighbor joining for reconstruction of latent tree models
A Jaffe, N Amsel, Y Aizenbud, B Nadler, JT Chang, Y Kluger
arXiv preprint arXiv:2002.12547, 2020
Random Projections for Matrix Decompositionand for Cryo-EM Molecule Reconstruction
Y Aizenbud
Tel Aviv University, 2020
Random Projections for Matrix Decomposition and Manifold Learning
Y Aizenbud
JYU Dissertations, 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
Classical Numerical Methods for Eigen Decomposition
Y Aizenbud
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