Pith. sign in

REVIEW 1 cited by

The algebraic degree of the Wasserstein distance

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2401.12735 v1 pith:DRN46RXG submitted 2024-01-23 math.AG math.GR

classification math.AGmath.GR
keywords algebraicdistancewassersteindegreeassociatedbirkhoffcomplexcomplexity
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Given two rational univariate polynomials, the Wasserstein distance of their associated measures is an algebraic number. We determine the algebraic degree of the squared Wasserstein distance, serving as a measure of algebraic complexity of the corresponding optimization problem. The computation relies on the structure of a subpolytope of the Birkhoff polytope, invariant under a transformation induced by complex conjugation.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry

    cs.LG 2025-01 conditional novelty 4.0 of 10

    The paper argues that algebraic geometry offers a powerful dictionary for understanding deep learning models with polynomial or piecewise-polynomial activations.

Pith tools