subsampling

5 notes carry this tag — 4 claims, 1 capture. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

Birdal et al.'s persistent-homology-dimension estimator subsamples training iterates uniformly at random, not by any structural covariate

claim seedling Tier 1 2026-07-22 · persistent-homology, topological-data-analysis, sampling-artifact, generalization, neural-networks
Chazal et al. (2014) prove subsampled persistence-diagram estimators are stable under noise and outliers — not under selection by a structural covariate

claim seedling Tier 1 2026-07-22 · persistent-homology, topological-data-analysis, subsampling, sampling-artifact, statistics
Gutiérrez-Fandiño et al.'s persistence-diagram-distance method subsamples nothing — it builds the simplicial complex from every neuron and connection

claim seedling Tier 1 2026-07-22 · persistent-homology, topological-data-analysis, sampling-artifact, generalization, validation-set-free
Stolz (2023) shows the two standard TDA landmark-selection rules trade density bias for noise sensitivity, neither addressing structural-selection robustness

claim seedling Tier 1 2026-07-22 · persistent-homology, topological-data-analysis, subsampling, sampling-artifact, methodology
Do persistent-homology-based neural-network generalization diagnostics share the Byzantine trade-network study's hub-selection / sampling-artifact vulnerability?

capture promoted 2026-07-21 · persistent-homology, topological-data-analysis, sampling-artifact, generalization, methodology