New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Slicing / Wasserstein #7

Open

8 tasks

Matthijspals opened this issue Feb 2, 2024 · 1 comment

Assignees

Labels

writing

Contributor

Matthijspals commented Feb 2, 2024

Intuitive description, of what these metrics try to measure, and how, and for what they are used
Thorough description of the metric in supplementary
Common variants and hyper parameters choices
Scaling with dimensionality
Scaling with number of samples
Computational complexity
Induced geometry
Failure modes

Matthijspals changed the title ~~Team: Slicing / Wasserstein~~ Slicing / Wasserstein

jaivardhankapoor mentioned this issue

Master Issue Checklist (Auto-updated) #6

Open

23 tasks

Matthijspals added the writing label

gmoss13 self-assigned this

Contributor

gmoss13 commented Feb 5, 2024

TODOs:

make a notebook +figure explaining slicing (@jsvetter)
compare behaviour of SWD and Sinkhorn approximation as dimensionality goes up when GT distance is known (@gmoss13 and comparisons team)
make a notebook + figure explaining Wasserstein Distance in 1D (@gmoss13)
(Optional) implement GSWD (@gmoss13) and make a notebook comparing with SWD
Consider examples where choice of p matters, and/or failure modes (@gmoss13)
Writing (@gmoss13 and @jsvetter)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment