Learning Submanifolds for Subsequent Inference on Random Dot Product Graphs, Part 1: Theory
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arXiv:2609.19357v1 Announce Type: new Abstract: We propose a framework for restricted inference on random dot product graphs whose latent positions lie on an unknown low-dimensional support manifold. For general decision problems, we propose semisupervised decision rules that use auxiliary data to…
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- 2026-09-18 04:00 · arXiv stat.ML
Learning Submanifolds for Subsequent Inference on Random Dot Product Graphs, Part 1: Theory
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