English(EN) ICLR27 math and stats paper review experience [D]

ICLR27 评审者偏爱实验而非理论，令作者沮丧

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-07 03:02

提交理论性论文至 ICLR27 的研究人员发现，评审过程优先考虑实验结果而非数学贡献。许多作者报告称，即使论文有详尽的证明，评审者仍关注其缺乏实验，并质疑工作的创新性或相关性。这导致了沮丧和不确定性，不知道是应该进行反驳还是撤回投稿，一些人怀疑理论性论文与评审者专业知识之间存在不匹配。 AI

影响凸显了学术同行评审中可能存在的偏见，这些偏见可能会影响理论性人工智能研究的传播。

排序理由讨论研究会议上学术论文的同行评审过程。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 讨论研究会议上学术论文的同行评审过程。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

r/MachineLearning TIER_1 English(EN) · /u/d_edge_sword · 2026-11-07 03:02

ICLR27 数学与统计论文评审体验 [D]

<div class="md"><p>For people who had papers submitted to ICLR that are applied theory style. For example, 60- 70% theory with some experiments at the end. What was your review experience like for ICLR27?</p> <p>We got a score of 222, on the probabilistic methods t…