Paper

An $(\epsilon,\delta)$-accurate level set estimation with a stopping criterion

Unreadunread

AI summary

arXiv:2503. 20272v2 Announce Type: replace Abstract: The level set estimation problem seeks to identify regions within a set of candidate points where an unknown and costly to evaluate function's value exceeds a specified threshold, providing an efficient alternative to exhaustive evaluations of function values.

Reading status

Priority

About this paper

Authors: Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino
Released: 2026-06-10 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because An $(\epsilon,\delta)$-accurate level set estimation with a stopping criterion overlaps with clean result "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)", 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 "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: eval, rate, candidate, lora. Source: arxiv stat.ML (Machine Learning).
arXiv: 2503.20272

Ask Claude about this paper

Posts a comment with @claude so the runner spins up a Claude Code session scoped to An $(\epsilon,\delta)$-accurate level set estimation with a stopping criterion. Replies appear in the conversation below.

Comments

No comments yet.

Related records

No links yet.