14 citations · 25 across the 27 of their papers we have counts for
4 papers · 1 filter
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
Ruijie Jiang, Prakash Ishwar, Shuchin Aeron
We study the problem of designing hard negative sampling distributions for unsupervised contrastive representation learning. We propose and analyze a novel min-max framework that s…
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling
Shoaib Bin Masud, Matthew Werenski, James M. Murphy +1
The framework of optimal transport has been leveraged to extend the notion of rank to the multivariate setting while preserving desirable properties of the resulting goodness-of-fi…
Robust and efficient change point detection using novel multivariate rank-energy GoF test
Shoaib Bin Masud, Shuchin Aeron
In this paper, we use and further develop upon a recently proposed multivariate, distribution-free Goodness-of-Fit (GoF) test based on the theory of Optimal Transport (OT) called t…
Barycentric-alignment and reconstruction loss minimization for domain generalization
Boyang Lyu, Thuan Nguyen, Prakash Ishwar +2
This paper advances the theory and practice of Domain Generalization (DG) in machine learning. We consider the typical DG setting where the hypothesis is composed of a representati…