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PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of 预测 (Prediction)-Powered 推断...
PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of Prediction-Powered Inferen...
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建设卡尔胡宁-洛埃夫扩建工程的数字考虑
Numerical Considerations for the Construction of Karhunen-Loève Expansions
👁 122 📚 45
Hardness of High-Dimensional Linear 分类 (Classification)
Hardness of High-Dimensional Linear Classification
👁 183 📚 3
Adaptive Nonlinear 数据 (Data) Assimilation through P-Spline Triangular Measure Transport
Adaptive Nonlinear Data Assimilation through P-Spline Triangular Measure Transport
👁 147 📚 22
Fast and Interpretable Autoregressive 估计 (Estimation) with 神经网络 (Neural Network) Backpropagation
Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
👁 253 📚 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...
👁 444 📚 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
👁 407 📚 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
👁 217 📚 27
Kernel Single-Index Bandits: 估计 (Estimation), 推断 (Inference), and 学习 (Learning)
Kernel Single-Index Bandits: Estimation, Inference, and Learning
👁 42 📚 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
👁 316 📚 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
👁 33 📚 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
👁 296 📚 9
时间延迟库计算分析的数学框架
A mathematical framework for time-delay reservoir computing analysis
👁 289 📚 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...
👁 235 📚 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
👁 303 📚 32
比例制中线性Denoisers的确切表现
Precise Performance of Linear Denoisers in the Proportional Regime
👁 100 📚 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
👁 37 📚 39
统计 (Statistical) Testing Framework for Clustering Pipelines by Selective 推断 (Inference)
Statistical Testing Framework for Clustering Pipelines by Selective Inference
👁 143 📚 22
线性混合下的多域因子实验湾
Multi-Domain Causal Empirical Bayes Under Linear Mixing
👁 500 📚 38
Computational and 统计 (Statistical) Hardness of Calibration Distance
Computational and Statistical Hardness of Calibration Distance
👁 104 📚 14