all AI news
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm. (arXiv:2210.16645v1 [math.OC])
Nov. 1, 2022, 1:13 a.m. | Yiling Xie, Yiling Luo, Xiaoming Huo
stat.ML updates on arXiv.org arxiv.org
We observe that computing empirical Wasserstein distance in the independence
test is an optimal transport (OT) problem with a special structure. This
observation inspires us to study a special type of OT problem and propose a
modified Hungarian algorithm to solve it exactly. For an OT problem between
marginals with $m$ and $n$ atoms ($m\geq n$), the computational complexity of
the proposed algorithm is $O(m^2n)$. Computing the empirical Wasserstein
distance in the independence test requires solving this special type of …
More from arxiv.org / stat.ML updates on arXiv.org
Learning linear dynamical systems under convex constraints
2 days, 16 hours ago |
arxiv.org
Inverse Unscented Kalman Filter
3 days, 16 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne