activity
20172022
most citedA Bayesian Approach for Analyzing Data on the Stiefel Manifold

1 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

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…