1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2022★ 1 cited
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
Arnab Ganguly, Riten Mitra, Jinpu Zhou
The paper has two major themes. The first part of the paper establishes certain general results for infinite-dimensional optimization problems on Hilbert spaces. These results cove…
math.ST2019★ 1 cited
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
Subhadip Pal, Subhajit Sengupta, Riten Mitra +1
Directional data emerges in a wide array of applications, ranging from atmospheric sciences to medical imaging. Modeling such data, however, poses unique challenges by virtue of th…
stat.ME2017
A Bayesian Mixture Model for Clustering on the Stiefel Manifold
Subhajit Sengupta, Subhadip Pal, Riten Mitra +3
Analysis of a Bayesian mixture model for the Matrix Langevin distribution on the Stiefel manifold is presented. The model exploits a particular parametrization of the Matrix Langev…