Paper

Conformal Risk-Averse Decision Making with Action Conditional Guarantee

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arXiv:2606. 05551v1 Announce Type: new Abstract: Reliable decision making pipelines powered by machine learning models require uncertainty quantification (UQ) methods that come with explicit safety guarantees.

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Authors: Zihan Zhu, Shayan Kiyani, George Pappas. Hamed Hassani
Released: 2026-06-05 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Conformal Risk-Averse Decision Making with Action Conditional Guarantee overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "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: line, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.05551

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