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Literature Library

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

👁 227 📚 27

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

👁 307 📚 9

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

👁 571 📚 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

👁 116 📚 14

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

所有形状和大小的ResNet:大规模限制中培训动态的聚合

ResNets of All Shapes and Sizes: Convergence of Training Dynamics in the Large-scale Limit

作者
Authors: Louis-Pierre Chaintron, Lénaïc Chizat, Javier Maas... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 325 📚 48

人类语言之间的定量距离

Pretrained Multilingual Transformers Reveal Quantitative Distance Between Human Languages

作者
Authors: Yue Zhao, Jiatao Gu, Paloma Jeretič, Weijie Su 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 174 📚 49

BonderAD:时间序列异常检测的边界-意识负生成

BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection

作者
Authors: Xiancheng Wang, Lin Wang, Zhibo Zhang, Rui Wang, M... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 380 📚 13

高斯进程限制图像变换器的结构惠益

Gaussian Process Limit Reveals Structural Benefits of Graph Transformers

作者
Authors: Nil Ayday, Lingchu Yang, Debarghya Ghoshdastidar 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 165 📚 43

Contextual Preference Distribution 学习 (Learning)

Contextual Preference Distribution Learning

作者
Authors: Benjamin Hudson, Laurent Charlin, Emma Frejinger 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 165 📚 0

Dependence Fidelity and Downstream 推断 (Inference) Stability in Generative 模型 (Model)s

Dependence Fidelity and Downstream Inference Stability in Generative Models

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

👁 253 📚 9

贝叶斯 (Bayesian) 推断 (Inference) of Psychometric Variables From Brain and Behavior in Implicit Associat...

Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests

作者
Authors: Christian A. Kothe, Sean Mullen, Michael V. Bronst... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 236 📚 33

High-dimensional estimation with missing data: 统计 (Statistical) and computational limits

High-dimensional estimation with missing data: Statistical and computational limits

作者
Authors: Kabir Aladin Verchand, Ankit Pensia, Saminul Haque... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 机器学习
Machine Learning

👁 278 📚 46