414 citations · 723 across the 50 of their papers we have counts for
6 papers · 1 filter
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
David Alvarez-Melis, Nicolò Fusi, Lester Mackey +1
Optimal Transport (OT) is a fundamental tool for comparing probability distributions, but its exact computation remains prohibitive for large datasets. In this work, we introduce n…
InfoOT: Information Maximizing Optimal Transport
Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis
Optimal transport aligns samples across distributions by minimizing the transportation cost between them, e.g., the geometric distances. Yet, it ignores coherence structure in the…
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings
Frederike Lübeck, Charlotte Bunne, Gabriele Gut +3
Comparing unpaired samples of a distribution or population taken at different points in time is a fundamental task in many application domains where measuring populations is destru…
Interpretable Distribution Shift Detection using Optimal Transport
Neha Hulkund, Nicolo Fusi, Jennifer Wortman Vaughan +1
We propose a method to identify and characterize distribution shifts in classification datasets based on optimal transport. It allows the user to identify the extent to which each…
Why GANs are overkill for NLP
David Alvarez-Melis, Vikas Garg, Adam Tauman Kalai
This work offers a novel theoretical perspective on why, despite numerous attempts, adversarial approaches to generative modeling (e.g., GANs) have not been as popular for certain…
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk +2
Scarcity of labeled histopathology data limits the applicability of deep learning methods to under-profiled cancer types and labels. Transfer learning allows researchers to overcom…