arXiv:2609.00691v1 Announce Type: new
Abstract: Post-hoc out-of-distribution detectors are fitted on a finite reference set, so every score they produce is an estimate. If we had chosen a different s...
By Donghoon Lee, Shinjin Kang
arXiv:2604.10857v2 Announce Type: replace-cross
Abstract: Diffusion models generate samples by iteratively querying learned score estimates. A rapidly growing literature focuses on accelerating sampl...
By Zhiyang Xun, Eric Price
The paper introduces Uniform Race (UR), a parameter‑free algorithm for approximate rejection sampling that selects a sample by maximizing the ratio of its importance weight to an independent uniform random variable. UR achieves the same total variation error bound as the optimal rejection sampler that requires knowledge of the best acceptance threshold, and it outperforms both the budget‑calibrated rejection sampler and sampling importance resampling in certain settings. The authors also provide theoretical conditions under which UR’s selection probabilities are uniquely optimal and validate the method on large‑language‑model reasoning tasks.
By Seiyun Shin, Juhyeong Pang, Kwang-Sung Jun
arXiv:2608. 06206v1 Announce Type: cross Abstract: Conformal prediction endows arbitrary black-box predictors with finite-sample, distribution-free marginal coverage, yet marginal validity can hide severe covariate-specific miscalibration, while exact distribution-free conditional coverage is finite-sample unattainable.
By Anton Conrad, Rustam Isaev, Denis Belomestny, Eric Moulines, Sergey Samsonov
The study analyzes 373,019 judgments from LLM‑scored benchmarks, decomposing variance into system, item, judge, and interaction components via generalizability theory. It finds that with a single judge, generalizability converges to a ceiling determined by the system‑by‑judge variance, which is substantially lower in pairwise preference settings, allowing one judge to suffice. The research also reveals significant biases in presentation order and highlights that many published win‑rate claims fall below the measured floor of the benchmarks.
By Atul Anand
arXiv:2512. 24152v2 Announce Type: replace-cross Abstract: Sampling based on score diffusions has led to striking empirical results, and has attracted considerable attention from various research communities.
By M. J. Wainwright