Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
Recovery of support of a sparse vector from simple measurements is a widely-studied problem, considered under the frameworks of compressed sensing, 1-bit compressed sensing, and mo…
stat.ML2020
Recovery of sparse linear classifiers from mixture of responses
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
In the problem of learning a mixture of linear classifiers, the aim is to learn a collection of hyperplanes from a sequence of binary responses. Each response is a result of queryi…