4 citations · 6 across the 3 of their papers we have counts for
4 papers
Continual Mean Estimation Under User-Level Privacy
Anand Jerry George, Lekshmi Ramesh, Aditya Vikram Singh +1
We consider the problem of continually releasing an estimate of the population mean of a stream of samples that is user-level differentially private (DP). At each time instant, a u…
Multiple Support Recovery Using Very Few Measurements Per Sample
Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi
In the problem of multiple support recovery, we are given access to linear measurements of multiple sparse samples in . These samples can be partitioned into …
Phase Transitions for Support Recovery from Gaussian Linear Measurements
Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi
We study the problem of recovering the common -sized support of a set of samples of dimension , using noisy linear measurements per sample. Most prior work has focuse…
Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior
Lekshmi Ramesh, Chandra R Murthy, Himanshu Tyagi
Data samples from with a common support of size are accessed through random linear projections (measurements) per sample. It is well-known that roughly …