New article ideas: Difference between revisions
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==The Optimal Transport Problem== | ==The Optimal Transport Problem== | ||
==Variants of Optimal Transport Problems== | ==Variants of Optimal Transport Problems== | ||
* Entropic optimal transport and the Schrödinger bridge problem [https://www.math.ucdavis.edu/~saito/data/acha.read.s19/leonard_survey-schroedinger-problem-optxport.pdf][https://www.math.columbia.edu/~mnutz/docs/EOT_lecture_notes.pdf] | * Entropic optimal transport and the Schrödinger bridge problem [https://www.math.ucdavis.edu/~saito/data/acha.read.s19/leonard_survey-schroedinger-problem-optxport.pdf][https://www.math.columbia.edu/~mnutz/docs/EOT_lecture_notes.pdf] | ||
* | * Multi-marginal optimal transport and density functional theory | ||
==The 2-Wasserstein Metric== | ==The 2-Wasserstein Metric== | ||
* | * Benamou-Brenier dynamic characterization of W2; Santambrogio (187-198); Villani (238-249) (make sure to cite existing wiki article on [[Geodesics and generalized geodesics]]) | ||
* | * Displacement convexity; Santambrogio (249-251,271-276); Villani (150-154) (make sure to cite existing wiki article on [[Geodesics and generalized geodesics]]) | ||
* 2-Wasserstein | * 2-Wasserstein metric and Ricci curvature; Figalli-Glaudo (112-114); [https://cedricvillani.org/sites/dev/files/old_images/2012/08/P12.CIME_.pdf] | ||
==Numerical Methods for Optimal Transport== | ==Numerical Methods for Optimal Transport== | ||
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==Mathematical Foundations:== | ==Mathematical Foundations:== | ||
* Gradient flows in metric spaces; Figalli-Glaudo (107-108); Santambrogio, 'OT for Applied Mathematicians' (285-290); Santambrogio, 'Euclidean, Metric, and Wasserstein GFs' (90-107; don't need to cover all topics, just what interests you) | |||
==Applications:== | ==Applications:== | ||
* Wasserstein Generative Adversarial Networks [https://leon.bottou.org/publications/pdf/icml-2017.pdf], [https://nemo.kiwi/studies/M1/ML/report.pdf] | * Wasserstein Generative Adversarial Networks [https://leon.bottou.org/publications/pdf/icml-2017.pdf], [https://nemo.kiwi/studies/M1/ML/report.pdf] | ||
* Optimal transport methods in economics; see introduction of book by Galichon (I have a copy you can borrow) | * Optimal transport methods in economics; see introduction of book by Galichon (I have a copy you can borrow) and [https://arxiv.org/abs/2107.04700] | ||
* | * Quantization and Lloyd's algorithm [https://hal.archives-ouvertes.fr/hal-03256039/document], [https://link.springer.com/content/pdf/10.1007/978-3-030-01947-1_7.pdf], [https://link.springer.com/content/pdf/10.1007/978-3-319-99689-9_6.pdf] | ||
Latest revision as of 07:46, 7 February 2022
Below, you can find a list of new article ideas and suggested references. (Feel free to incorporate additional references! Please list all references you use at the bottom of your article.) If you choose to write about one of these ideas, remove it from the list below and create a new link on the main page.
Want to write about something that's not listed here? Email me!
The Optimal Transport Problem
Variants of Optimal Transport Problems
- Entropic optimal transport and the Schrödinger bridge problem [1][2]
- Multi-marginal optimal transport and density functional theory
The 2-Wasserstein Metric
- Benamou-Brenier dynamic characterization of W2; Santambrogio (187-198); Villani (238-249) (make sure to cite existing wiki article on Geodesics and generalized geodesics)
- Displacement convexity; Santambrogio (249-251,271-276); Villani (150-154) (make sure to cite existing wiki article on Geodesics and generalized geodesics)
- 2-Wasserstein metric and Ricci curvature; Figalli-Glaudo (112-114); [3]
Numerical Methods for Optimal Transport
- Computing OT via Benamou-Brenier; Santambrogio (220-225); Peyré, Cuturi (102-108)
- Wasserstein Barycenters; Santambrogio (215-218); Peyré, Cuturi (138-144)
Mathematical Foundations:
- Gradient flows in metric spaces; Figalli-Glaudo (107-108); Santambrogio, 'OT for Applied Mathematicians' (285-290); Santambrogio, 'Euclidean, Metric, and Wasserstein GFs' (90-107; don't need to cover all topics, just what interests you)