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Robust conditional dimension reduction for dissimilarity data

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.06284v1 Announce Type: new Abstract: Conditional dimension reduction (cDR) learns low-dimensional latent coordinates while accounting for observed covariates that represent known sources of variation in the data. Conditional Multidimensional Scaling (cMDS) is a cDR technique that works d…

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  1. 2026-09-09 04:00 · arXiv stat.ML
    Robust conditional dimension reduction for dissimilarity data

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