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Yariv Aizenbud
Yariv Aizenbud
Gibbs Assistant Professor, Yale University
Bestätigte E-Mail-Adresse bei yale.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Randomized LU decomposition
G Shabat, Y Shmueli, Y Aizenbud, A Averbuch
Applied and Computational Harmonic Analysis 44 (2), 246-272, 2018
592018
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
572020
Approximation of functions over manifolds: A moving least-squares approach
B Sober, Y Aizenbud, D Levin
Journal of Computational and Applied Mathematics, 2020
292020
Matrix decompositions using sub-Gaussian random matrices
Y Aizenbud, A Averbuch
Information and Inference: A Journal of the IMA 8 (3), 445-469, 2019
212019
PCA-based out-of-sample extension for dimensionality reduction
Y Aizenbud, A Bermanis, A Averbuch
arXiv preprint arXiv:1511.00831, 2015
212015
Randomized LU decomposition using sparse projections
Y Aizenbud, G Shabat, A Averbuch
Computers & Mathematics with Applications 72 (9), 2525-2534, 2016
202016
Multi-view kernel consensus for data analysis
M Salhov, O Lindenbaum, Y Aizenbud, A Silberschatz, Y Shkolnisky, ...
Applied and Computational Harmonic Analysis, 2019
18*2019
Non-parametric estimation of manifolds from noisy data
Y Aizenbud, B Sober
arXiv preprint arXiv:2105.04754, 2021
172021
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
142019
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
92021
Rank-one multi-reference factor analysis
Y Aizenbud, B Landa, Y Shkolnisky
Statistics and Computing 31 (1), 8, 2021
92021
Germline genetic variants are associated with development of insulin-dependent diabetes in cancer patients treated with immune checkpoint inhibitors
JI Caulfield, L Aizenbud, AL Perdigoto, E Meffre, L Jilaveanu, ...
Journal for Immunotherapy of Cancer 11 (3), 2023
82023
Probabilistic robust autoencoders for outlier detection
O Lindenbaum, Y Aizenbud, Y Kluger
arXiv preprint arXiv:2110.00494, 2021
82021
Approximating the span of principal components via iterative least-squares
Y Aizenbud, B Sober
arXiv preprint arXiv:1907.12159, 2019
42019
Spectral top-down recovery of latent tree models
Y Aizenbud, A Jaffe, M Wang, A Hu, N Amsel, B Nadler, JT Chang, ...
Information and Inference: A Journal of the IMA 12 (3), 2300-2350, 2023
22023
Diffusion-based methods for estimating curvature in data
D Bhaskar, K MacDonald, D Thomas, S Zhao, K You, J Paige, Y Aizenbud, ...
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
22022
Probabilistic robust autoencoders for anomaly detection
Y Aizenbud, O Lindenbaum, Y Kluger
arXiv e-prints, arXiv: 2110.00494, 2021
22021
Convergence rates of vector-valued local polynomial regression
Y Aizenbud, B Sober
arXiv preprint arXiv:2107.05852, 2021
22021
Approximating the span of principal components via iterative least-squares
Y Aizenbud, B Sober
Applied and Computational Harmonic Analysis 63, 84-92, 2023
2023
Differentiable Unsupervised Feature Selection
Y Aizenbud, O Lindenbaum, Y Kluger
arXiv preprint arXiv:2110.00494, 2021
2021
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