59 citations · 100 across the 12 of their papers we have counts for
14 papers · 1 filter
SPOT: A framework for selection of prototypes using optimal transport
Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
In this work, we develop an optimal transport (OT) based framework to select informative prototypical examples that best represent a given target dataset. Summarizing a given targe…
Manifold optimization for non-linear optimal transport problems
Bamdev Mishra, N T V Satyadev, Hiroyuki Kasai +1
Optimal transport (OT) has recently found widespread interest in machine learning. It allows to define novel distances between probability measures, which have shown promise in sev…
Efficient Robust Optimal Transport with Application to Multi-Label Classification
Pratik Jawanpuria, N T V Satyadev, Bamdev Mishra
Optimal transport (OT) is a powerful geometric tool for comparing two distributions and has been employed in various machine learning applications. In this work, we propose a novel…
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
We propose a novel manifold based geometric approach for learning unsupervised alignment of word embeddings between the source and the target languages. Our approach formulates the…
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition
Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra
Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usefulness, etc. Since they influe…
Low-rank approximations of hyperbolic embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
The hyperbolic manifold is a smooth manifold of negative constant curvature. While the hyperbolic manifold is well-studied in the literature, it has gained interest in the machine…