3 papers
stat.ML2020
Robust Mean Estimation in High Dimensions via Minimization
Jing Liu, Aditya Deshmukh, Venugopal V. Veeravalli
We study the robust mean estimation problem in high dimensions, where fraction of the data points can be arbitrarily corrupted. Motivated by compressive sensing, we formula…
math.ST2019
Sequential Controlled Sensing for Composite Multihypothesis Testing
Aditya Deshmukh, Srikrishna Bhashyam, Venugopal V. Veeravalli
The problem of multi-hypothesis testing with controlled sensing of observations is considered. The distribution of observations collected under each control is assumed to follow a…
math.OC2019
Information Flow Optimization in Inference Networks
Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli +1
The problem of maximizing the information flow through a sensor network tasked with an inference objective at the fusion center is considered. The sensor nodes take observations, c…