Seyedehsara Nayer

activity

20162021

most citedLow Rank Phase Retrieval

65 citations · 71 across the 5 of their papers we have counts for

collaborators

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3 papers · 1 filter

cs.IT2021★ 4 cited

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 $n \times q$ rank- $r$ matrix, $X^{*} = [x_{1}^{*}, x_{2}^{*}, ..., x_{q}^{*}]$ , with $r ≪ min (n, q)$ , from $m$ in…

cs.IT2020

Sample-Efficient Low Rank Phase Retrieval

Seyedehsara Nayer, Namrata Vaswani

This work studies the Low Rank Phase Retrieval (LRPR) problem: recover an $n \times q$ rank- $r$ matrix $X^{*}$ from $y_{k} = ∣ A_{k}^{⊤} x_{k}^{*} ∣$ , $k = 1, 2, ..., q$ , when each $y_{k}$ is an m…

cs.IT2016★ 65 cited

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…