1.3k citations · 3.7k across the 93 of their papers we have counts for
4 papers · 1 filter
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
Navjot Singh, Suhas Diggavi
In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of…
Common Information Dimension
Osama Hanna, Xinlin Li, Suhas Diggavi +1
The exact common information between a set of random variables is defined as the minimum entropy of a shared random variable that allows for the exact distributive si…
Multi-Message Shuffled Privacy in Federated Learning
Antonious M. Girgis, Suhas Diggavi
We study differentially private distributed optimization under communication constraints. A server using SGD for optimization aggregates the client-side local gradients for model u…
HQAlign: Aligning nanopore reads for SV detection using current-level modeling
Dhaivat Joshi, Suhas Diggavi, Mark J. P. Chaisson +1
Motivation: Detection of structural variants (SV) from the alignment of sample DNA reads to the reference genome is an important problem in understanding human diseases. Long reads…