Another Look at Log-PCA for Probability Measures: A Dynamical Formulation and Statistical Convergence
arXiv 2606.17196•1358782cea92525a58fe15acdf927939e153095c744b04d89de554bebfa0acfb
AI-benchmarksFinsler-geometryPCAWassersteinbayesian-methodsboolean-matrix-factorizationboolean-polynomialscancer-genomicscausal-discoveryconcentration-inequalitiesconditional-independence-testingde-Finettidifferential-privacyfairnessgaussian-processesgraph-neural-networksmachine-learningmembership-inferenceoptimal-transportreinforcement-learningsample-complexitystatisticssum-of-squares-optimization','robust-learningtemporal-difference-learningtensor-methods
Paper metadata
- arXiv ID
- 2606.17196
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 1358782cea92525a58fe15acdf927939e153095c744b04d89de554bebfa0acfb
- Enrichment time
- 2026-06-17T07:23:54Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.