7 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
MMD-Regularized Unbalanced Optimal Transport
Piyushi Manupriya, J. Saketha Nath, Pratik Jawanpuria
We study the unbalanced optimal transport (UOT) problem, where the marginal constraints are enforced using Maximum Mean Discrepancy (MMD) regularization. Our work is motivated by t…
cs.LG2020★ 6 cited
Statistical Optimal Transport posed as Learning Kernel Embedding
J. Saketha Nath, Pratik Jawanpuria
The objective in statistical Optimal Transport (OT) is to consistently estimate the optimal transport plan/map solely using samples from the given source and target marginal distri…
cs.LG2012★ 7 cited
A Convex Feature Learning Formulation for Latent Task Structure Discovery
Pratik Jawanpuria, J. Saketha Nath
This paper considers the multi-task learning problem and in the setting where some relevant features could be shared across few related tasks. Most of the existing methods assume t…