arXiv Machine Learning July 21, 2026 By Guan-Ju Peng

Honest Physical-Support Inference after Latent Dictionary Learning: Collision Singularities and Minimax Resolution

Read the original on arXiv Machine Learning →

arXiv:2607. 16813v1 Announce Type: new Abstract: Sparse-support uncertainty is usually quantified by treating the dictionary as known, an assumption that can produce overconfident, label-dependent conclusions when the dictionary is learned from latent sparse mixtures.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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