6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023
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…
math.OC2021★ 3 cited
Decentralized Multi-Task Stochastic Optimization With Compressed Communications
Navjot Singh, Xuanyu Cao, Suhas Diggavi +1
We consider a multi-agent network where each node has a stochastic (local) cost function that depends on the decision variable of that node and a random variable, and further the d…
math.NA2021★ 6 cited
ATD: Augmenting CP Tensor Decomposition by Self Supervision
Chaoqi Yang, Cheng Qian, Navjot Singh +4
Tensor decompositions are powerful tools for dimensionality reduction and feature interpretation of multidimensional data such as signals. Existing tensor decomposition objectives…