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LLM Sparsity Prior for Robust Feature Selection
利用大模型蕴含的稀疏性先验，为高维数据特征选择提供鲁棒策略，理论贡献显著。
arXiv:2605.23102v1 Announce Type: cross Abstract: Large language models (LLMs) offer a scalable mechanism to elicit domain-informed prior information …
2
国家统计局：5月中旬生猪（外三元）价格环比下跌1%
国家统计局发布2026年5月中旬流通领域重要生产资料市场价格变动情况，对全国流通领域9大类50种重要生产资料市场价格的监测显示，2026年5月中旬与5月上旬相比，20种产品价格上涨，23种下降，7种持平。其中，生猪（外三元）价格为9.5元/千克，环比下跌1%。
3
SMART Fine-tuning Factor Augmented Neural Lasso
提出SMART框架，将预训练模型融入高维非参数变量选择，为微调提供理论基础。
arXiv:2604.12288v2 Announce Type: replace-cross Abstract: Fine-tuning is a widely used strategy for adapting pre-trained models to new tasks, yet its …
4
Reconciling Enterprise AI Revenue
不同权威机构对2025年全球AI市场规模的预测从数千亿到万亿不等，为何差距如此巨大？一文拆解数字背后的定义边界与统计逻辑。
Article URL: https://philippdubach.com/posts/reconciling-enterprise-ai-revenue/ Comments URL: https://news.ycombinator.com/item?id=48208134 Points: 1 …
5
From Demographics to Survey Anchors: Evaluating LLM Agents for Modeling Retirement Attitudes
研究如何用LLM代理模拟退休态度，创新性结合人口统计与调查锚点，启发AI社会科学应用。
arXiv:2605.16303v1 Announce Type: cross Abstract: Large language models (LLM) agents may offer tools to predict human responses to surveys. A common t…
6
Beyond Explained Variance: A Cautionary Tale of PCA
PCA中解释方差并非万能指标，本文通过实例警示其潜在陷阱，值得数据分析者关注。
arXiv:2605.13520v2 Announce Type: replace-cross Abstract: We address shortcomings of principal component analysis (PCA) for visualizing high-dimension…
7
A Randomized Algorithm for Sparse PCA based on the Basic SDP Relaxation
稀疏主成分分析的随机新算法，基于SDP松弛的巧妙改进，理论与实验并重。
arXiv:2507.09148v2 Announce Type: replace-cross Abstract: Sparse Principal Component Analysis (SPCA) is a fundamental technique for dimensionality red…
8
Matrix-Decoupled Concentration for Autoregressive Sequences: Dimension-Free Guarantees for Sparse Long-Context Rewards
自回归序列的矩阵解耦集中不等式，为稀疏长上下文奖励提供无维度保证，理论创新突破。
arXiv:2605.06017v2 Announce Type: replace Abstract: Sequence-level evaluations in autoregressive Large Language Models (LLMs) rely on highly dependent…
9
Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning
该论文提出Kernelized Advantage Estimation方法，从非参数统计视角优化LLM推理，为强化学习提供新思路。
arXiv:2604.28005v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have increasingly relied on reinforcement learning…
10
Online Conformal Prediction for Non-Exchangeable Panel Data
探讨非交换面板数据的在线共形预测新方法，突破传统假设，提升实时预测可靠性
arXiv:2605.17705v1 Announce Type: cross Abstract: Panel data, in which multiple units are repeatedly observed over time, arise throughout science and …
11
Mixing Times of Glauber Dynamics on Masked Language Models
从统计物理视角分析遮蔽语言模型中Glauber动力学的混合时间，为理解MLM的采样行为提供理论依据。
arXiv:2605.16378v1 Announce Type: new Abstract: Masked language models (MLMs) define local conditional distributions over tokens but do not, in genera…
12
TEA-Time: Transporting Effects Across Time
因果推断新方法：跨时间运输效应，助力时间序列分析更精准
arXiv:2603.07018v2 Announce Type: replace-cross Abstract: Treatment effects estimated from a randomized controlled trial are local not only to the stu…
13
Masking Causality and Conditional Dependence
探索因果关系与条件依赖的掩盖机制，为因果推断理论提供新见解
arXiv:2603.06984v2 Announce Type: replace-cross Abstract: Many regulatory and analytic problems require that a prohibited variable influence a decisio…
14
Statistical Unlearning of Distributions: A Hypothesis Testing Approach
用假设检验框架实现分布级统计遗忘，为机器学习遗忘机制提供新理论视角。
arXiv:2605.16645v1 Announce Type: cross Abstract: Machine learning systems increasingly face requirements to forget not only individual data points, b…
15
开源短链接 Kutt 官方警告：域名意外丢失，不要再访问 kutt[.]it 了
开源短链接神器，漂亮后台+强大API+统计，支持自定义域名，安全可靠。
更新：感谢 @123 同学的提示，kuttit 域名丢失的原因是 .it 域名必须意大利人持有，并不是忘记续费。开发者持有很多年，被注册局收回了。 请勿使用 kuttit！！！它不属于 Kutt 了。 Kutt 是一款开源的短链接程序，5月14日发布了一条命为 Do not use ku
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A Regret Perspective on Online Multiple Testing
从遗憾视角统一在线多重检验的评估，揭示假阳性与假阴性非对称成本的优化新框架。
arXiv:2605.13916v1 Announce Type: cross Abstract: Online Multiple Testing (OMT), a fundamental pillar of sequential statistical inference, traditional…
17
Density Estimation via Binless Multidimensional Integration
新方法BMTI通过无箱多维积分实现非参数密度估计，数据高效且鲁棒。
arXiv:2407.08094v3 Announce Type: replace-cross Abstract: We introduce the Binless Multidimensional Thermodynamic Integration (BMTI) method for nonpar…
18
Most Meaningful Dates on the Web and for an LLM
从xkcd经典谜题出发，揭示LLM训练语料中日期出现的神秘规律，数据控必看。
Article URL: https://venkatasg.net/blog/dates-2026-05-12.html Comments URL: https://news.ycombinator.com/item?id=48148071 Points: 1 # Comments: 0