65 citations · 71 across the 5 of their papers we have counts for
6 papers
Fast and Sample-Efficient Federated Low Rank Matrix Recovery from column-wise Linear and Quadratic Projections
Seyedehsara, Nayer, Namrata Vaswani
We study the following lesser-known low rank (LR) recovery problem: recover an rank- matrix, , with , from in…
Sample-Efficient Low Rank Phase Retrieval
Seyedehsara Nayer, Namrata Vaswani
This work studies the Low Rank Phase Retrieval (LRPR) problem: recover an rank- matrix from , , when each is an m…
Provable Low Rank Phase Retrieval
Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani
We study the Low Rank Phase Retrieval (LRPR) problem defined as follows: recover an matrix of rank from a different and independent set of phaseless (mag…
Phaseless Subspace Tracking
Seyedehsara Nayer, Namrata Vaswani
This work takes the first steps towards solving the "phaseless subspace tracking" (PST) problem. PST involves recovering a time sequence of signals (or images) from phaseless linea…
A Simple Generalization of a Result for Random Matrices with Independent Sub-Gaussian Rows
Namrata Vaswani, Seyedehsara Nayer
In this short note, we give a very simple but useful generalization of a result of Vershynin (Theorem 5.39 of [1]) for a random matrix with independent sub-Gaussian rows. We also e…
Low Rank Phase Retrieval
Namrata Vaswani, Seyedehsara Nayer, Yonina C. Eldar
We develop two iterative algorithms for solving the low rank phase retrieval (LRPR) problem. LRPR refers to recovering a low-rank matrix $\X$ from magnitude-only (phaseless) measur…