Showing 2023Show all
2 papers · 1 filter
stat.CO2023
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
Rahul Singh, Abhinek Shukla, Dootika Vats
Stochastic gradient descent (SGD) is an estimation tool for large data employed in machine learning and statistics. Due to the Markovian nature of the SGD process, inference is a c…
stat.ME2023
On estimating parameters of a multi-component Chirp Model with equal chirp rates
Abhinek Shukla, Debasis Kundu, Amit Mitra +1
Multi-component chirp signal models with equal chirp rates appear in various radar applications, e.g., synthetic aperture radar, echo signal of a rapid mobile target, etc. Many sub…