Web: http://arxiv.org/abs/2206.07630

June 16, 2022, 1:11 a.m. | James Thornton, Marco Cuturi

cs.LG updates on arXiv.org arxiv.org

Computing an optimal transport (OT) coupling between distributions plays an
increasingly important role in machine learning. While OT problems can be
solved as linear programs, adding an entropic smoothing term is known to result
in solvers that are faster and more robust to outliers, differentiable and
easier to parallelize. The Sinkhorn fixed point algorithm is the cornerstone of
these approaches, and, as a result, multiple attempts have been made to shorten
its runtime using, for instance, annealing, momentum or acceleration. …

algorithm arxiv ml

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY