111 citations · 338 across the 50 of their papers we have counts for
3 papers · 1 filter
Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion
Charul Paliwal, Pravesh Biyani, Ketan Rajawat
Missing data is a common problem in real-world sensor data collection. The performance of various approaches to impute data degrade rapidly in the extreme scenarios of low data sam…
Optimally Compressed Nonparametric Online Learning
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat +1
Batch training of machine learning models based on neural networks is now well established, whereas to date streaming methods are largely based on linear models. To go beyond linea…
Online Variational Bayesian Subspace Filtering with Applications
Charul, Uttkarsha Bhatt, Pravesh Biyani +1
Matrix completion and robust principal component analysis have been widely used for the recovery of data suffering from missing entries or outliers. In many real-world applications…