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regression

Papers

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Showing 2001–2025 of 9424 papers

TitleStatusHype
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsCode0
Nowcasting with Mixed Frequency Data Using Gaussian Processes—0
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport RidershipCode0
On Automating Video Game Regression Testing by Planning and Learning—0
Functional Partial Least-Squares: Adaptive Estimation and Inference—0
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization—0
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes—0
Fast Data-driven Greedy Sensor Selection for Ridge Regression—0
Developing an Optimal Model for Predicting the Severity of Wheat Stem Rust (Case study of Arsi and Bale Zone)—0
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
Conformalized Adaptive Forecasting of Heterogeneous TrajectoriesCode0
Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs—0
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration—0
Target Score Matching—0
Contrastive Learning for Regression on Hyperspectral Data—0
Efficient Contextual Bandits with Uninformed Feedback Graphs—0
Model Collapse Demystified: The Case of Regression—0
Physics-informed machine learning as a kernel methodCode0
Tail risk forecasting with semi-parametric regression models by incorporating overnight information—0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey—0
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System—0
Low-Rank Approximation of Structural Redundancy for Self-Supervised LearningCode0
Logistic-beta processes for dependent random probabilities with beta marginalsCode0
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified