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Optimal score function estimation via derivatives constraints

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arXiv:2606. 19084v1 Announce Type: cross Abstract: We consider the problem of score function estimation via empirical risk minimization.

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Authors: Thomas Bonis, Thanh Mai Pham Ngoc, Viet Chi Tran
Released: 2026-06-18 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Optimal score function estimation via derivatives constraints overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: text, class, under, rate, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.19084

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