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math.ST2026
The generalized method of moments is (almost) statistically efficient in low-SNR Gaussian latent-variable models
Amnon Balanov, Tamir Bendory, Dan Edidin
We study estimation in the low signal-to-noise ratio (SNR) regime for a broad class of Gaussian latent-variable models, including Gaussian mixtures and orbit recovery problems. We…
math.ST2026
Inhomogeneous Submatrix Detection
Mor Oren-Loberman, Dvir Jerbi, Tamir Bendory +1
In this paper, we study the problem of detecting multiple hidden submatrices in a large Gaussian random matrix when the planted signal is inhomogeneous across entries. Under the nu…
math.ST2024
Object detection under the linear subspace model with application to cryo-EM images
Amitay Eldar, Keren Mor Waknin, Samuel Davenport +3
Detecting multiple unknown objects in noisy data is a key problem in many scientific fields, such as electron microscopy imaging. A common model for the unknown objects is the line…