Amit Moscovich
Amit Moscovich
Princeton Program in Applied and Computational Mathematics
Verified email at math.princeton.edu - Homepage
Title
Cited by
Cited by
Year
On the exact Berk-Jones statistics and their -value calculation
A Moscovich, B Nadler, C Spiegelman
Electronic Journal of Statistics 10 (2), 2329-2354, 2016
272016
Minimax-optimal semi-supervised regression on unknown manifolds
A Moscovich, A Jaffe, B Nadler
Proceedings of the 20th International Conference on Artificial Intelligence …, 2017
172017
The Calibrated Kolmogorov-Smirnov Test
A Moscovich-Eiger, B Nadler, C Spiegelman
arXiv preprint arXiv:1311.3190v3, 2014
16*2014
Fast calculation of boundary crossing probabilities for Poisson processes
A Moscovich, B Nadler
Statistics & Probability Letters 123, 177-182, 2017
152017
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
A Moscovich, A Halevi, J Andén, A Singer
Inverse Problems 36 (2), 024003, 2020
102020
Unsupervised particle sorting for high-resolution single-particle cryo-EM
Y Zhou, A Moscovich, T Bendory, A Bartesaghi
Inverse Problems 36 (4), 044002, 2020
22020
Earthmover-based manifold learning for analyzing molecular conformation spaces
N Zelesko, A Moscovich, J Kileel, A Singer
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1715-1719, 2020
2020
Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation
A Moscovich, S Rosset
arXiv preprint arXiv:1901.08974, 2019
2019
Beyond Trees: Classification with Sparse Pairwise Dependencies
Y Tenzer, A Moscovich, MF Dorn, B Nadler, C Spiegelman
arXiv preprint arXiv:1806.01993, 2018
2018
Fast computation of boundary crossing probabilities for the empirical CDF (poster)
A Moscovich-Eiger, B Nadler
http://www.wisdom.weizmann.ac.il/~amitmo/crossprob …, 2015
2015
Tail-sensitive goodness-of-fit (poster)
A Moscovich-Eiger, B Nadler, C Spiegelman
2014
Fast semi-supervised regression: a geodesic nearest neighbor approach
A Moscovich, A Jaffe, B Nadler
Minimax-optimal semi-supervised regression on unknown manifolds: supplementary material
A Moscovich, A Jaffe, B Nadler
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Articles 1–13