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Scalable optimal transport methods in machine learning: A contemporary survey
Optimal Transport (OT) is a mathematical framework that first emerged in the eighteenth
century and has led to a plethora of methods for answering many theoretical and applied …
century and has led to a plethora of methods for answering many theoretical and applied …
Watch and match: Supercharging imitation with regularized optimal transport
Imitation learning holds tremendous promise in learning policies efficiently for complex
decision making problems. Current state-of-the-art algorithms often use inverse …
decision making problems. Current state-of-the-art algorithms often use inverse …
Cross-domain imitation learning via optimal transport
A Fickinger, S Cohen, S Russell, B Amos - ar**
I Martinez - arxiv preprint arxiv:2309.14029, 2023 - arxiv.org
The proliferation and ubiquity of temporal data across many disciplines has sparked interest
for similarity, classification and clustering methods specifically designed to handle time …
for similarity, classification and clustering methods specifically designed to handle time …