Convergence of multidimensional scaling embeddings under Gromov–Wasserstein convergence

Let (Xn,dn,μn)(X_n,d_n,\mu_n) for nNn\in\mathbb{N} be a sequence of metric measure spaces that converges to (X,d,μ)(X,d,\mu) in the Gromov–Wasserstein distance. The associated multidimensional scaling (MDS) embeddings map these spaces into a common Euclidean space according to their metric-measure structure. MDS convergence conjecture. The MDS embeddings converge. This conjecture proposes stability of multidimensional scaling under Gromov–Wasserstein convergence of metric measure spaces; the supplied source does not specify the mode of convergence or provide evidence resolving the claim.

Sources & referencesView supporting material

Primary source

Henry Adams, Mark Blumstein and Lara Kassab, “Multidimensional Scaling on Metric Measure Spaces”, arXiv:1907.01379 (2019).

Additional references

2 papers in this index state this conjecture (2019). The statement above is taken from the most recent of them; the others are arXiv:1904.07763.

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.