📚 文献库
Literature Library

Fast and Interpretable Autoregressive 估计 (Estimation) with 神经网络 (Neural Network) Backpropagation

Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation

作者
Authors: Anaísa Lucena, Ana Martins, Armando J. Pinho, Sóni... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 302 📚 50

对异常检测进行OmniAnomaly的复审:业绩指标和与基于五氯苯甲醚的模型的比较

Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based mode...

作者
Authors: Bruna Alves, Ana Martins, Armando J. Pinho, Sónia ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 456 📚 2

利用未来国家行动访问措施进行最大限度的勘探

Maximum-Entropy Exploration with Future State-Action Visitation Measures

作者
Authors: Adrien Bolland, Gaspard Lambrechts, Damien Ernst 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 420 📚 22

Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep 学习 (Learning)

Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning

作者
Authors: Bruna Alves, Armando J. Pinho, Sónia Gouveia 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 228 📚 27

Kernel Single-Index Bandits: 估计 (Estimation), 推断 (Inference), and 学习 (Learning)

Kernel Single-Index Bandits: Estimation, Inference, and Learning

作者
Authors: Sakshi Arya, Satarupa Bhattacharjee, Bharath K. Sr... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 54 📚 13

A 模型 (Model) Ensemble-Based Post-Processing Framework for Fairness-Aware 预测 (Prediction)

A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction

作者
Authors: Zhouting Zhao, Tin Lok James Ng 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 330 📚 30

SRM: 改善小规模残废制度中的递归运输代理

SRRM: Improving Recursive Transport Surrogates in the Small-Discrepancy Regime

作者
Authors: Yufei Zhang, Tao Wang, Jingyi Zhang 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 44 📚 12

CausalRM: Causal-Theoretic Reward 模型 (Model)ing for RLHF from Observational User Feedbacks

CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks

作者
Authors: Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zhen... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 308 📚 9

时间延迟库计算分析的数学框架

A mathematical framework for time-delay reservoir computing analysis

作者
Authors: Anh-Tuan Clabaut, Jean Auriol, Islam Boussaada, Gu... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 301 📚 9

A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Su?cient Convergence Condition...

A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Su?cient Convergence Condition...

作者
Authors: Samuel Gruffaz, Kyurae Kim, Fares Guehtar, Hadrien... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 246 📚 31

关于(甚至略微)不满意的恐惧

On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization

作者
Authors: Yixuan Zhang, Ruihao Zhu, Qiaomin Xie 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 331 📚 32

比例制中线性Denoisers的确切表现

Precise Performance of Linear Denoisers in the Proportional Regime

作者
Authors: Reza Ghane, Danil Akhtiamov, Babak Hassibi 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 111 📚 3

截断盲点:如何系统地解码策略 排除人类类的托肯选择

The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices

作者
Authors: Esteban Garces Arias, Nurzhan Sapargali, Christian... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 47 📚 39

统计 (Statistical) Testing Framework for Clustering Pipelines by Selective 推断 (Inference)

Statistical Testing Framework for Clustering Pipelines by Selective Inference

作者
Authors: Yugo Miyata, Tomohiro Shiraishi, Shunichi Nishino,... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 157 📚 22

线性混合下的多域因子实验湾

Multi-Domain Causal Empirical Bayes Under Linear Mixing

作者
Authors: Bohan Wu, Julius von Kügelgen, David M. Blei 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 585 📚 38

Computational and 统计 (Statistical) Hardness of Calibration Distance

Computational and Statistical Hardness of Calibration Distance

作者
Authors: Mingda Qiao 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 117 📚 14

学习 (Learning) to Reason with Curriculum I: Provable Benefits of Autocurriculum

Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum

作者
Authors: Nived Rajaraman, Audrey Huang, Miro Dudik, Robert ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 362 📚 17

Computation-Utility-Privacy Tradeoffs in 贝叶斯 (Bayesian) 估计 (Estimation)

Computation-Utility-Privacy Tradeoffs in Bayesian Estimation

作者
Authors: Sitan Chen, Jingqiu Ding, Mahbod Majid, Walter McK... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 352 📚 10

A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress 预测 (Prediction) in Hypere...

A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelasti...

作者
Authors: Purna Vindhya Kota, Meer Mehran Rashid, Somdatta G... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 491 📚 10

Starting Off on the Wrong Foot: Pitfalls in 数据 (Data) Preparation

Starting Off on the Wrong Foot: Pitfalls in Data Preparation

作者
Authors: Jiayi Guo, Panyi Dong, Zhiyu Quan 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 395 📚 41