534 citations · 2.2k across the 60 of their papers we have counts for
62 papers
Locally Permuted Low Rank Column-wise Sensing
Ahmed Ali Abbasi, Namrata Vaswani
We precisely formulate, and provide a solution for, the Low Rank Columnwise Sensing (LRCS) problem when some of the observed data is scrambled/permuted/unlabeled. This problem, whi…
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
Namrata Vaswani
This article describes a novel optimization solution framework, called alternating gradient descent (GD) and minimization (AltGDmin), that is useful for many problems for which alt…
Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization
Silpa Babu, Sajan Goud Lingala, Namrata Vaswani
In this work, we develop novel MRI reconstruction approaches that are accurate, fast and low-latency for a large number of dynamic MRI applications, sampling schemes and sampling r…
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
Jiabin Lin, Shana Moothedath, Namrata Vaswani
We study how representation learning can improve the learning efficiency of contextual bandit problems. We study the setting where we play T contextual linear bandits with dimensio…
Democratizing Signal Processing and Machine Learning: Math Learning Equity for Elementary and Middle School Students
Namrata Vaswani, Mohamed Y. Selim, Renee Serrell Gibert
Signal Processing (SP) and Machine Learning (ML) rely on good math and coding knowledge, in particular, linear algebra, probability, trigonometry, and complex numbers. A good grasp…
Noisy Low Rank Column-wise Sensing
Ankit Pratap Singh, Namrata Vaswani
This letter studies the AltGDmin algorithm for solving the noisy low rank column-wise sensing (LRCS) problem. Our sample complexity guarantee improves upon the best existing one by…