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regression

Papers

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Showing 1076–1100 of 9424 papers

TitleStatusHype
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised LearningCode0
On the Saturation Effect of Kernel Ridge Regression—0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Scalable Sparse Regression for Model Discovery: The Fast Lane to InsightCode0
Latent group structure in linear panel data models with endogenous regressors—0
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized SmoothingCode0
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction—0
Learning Decision Policies with Instrumental Variables through Double Machine LearningCode0
Trade Openness, Tariffs and Economic Growth: An Empirical Study from Countries of G-20—0
Simultaneous Inference for Local Structural Parameters with Random Forests—0
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications—0
Decentralized Kernel Ridge Regression Based on Data-Dependent Random FeatureCode0
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support RecoveryCode0
Kernel Three Pass Regression Filter—0
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression—0
ISR: Invertible Symbolic Regression—0
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation—0
Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression—0
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression—0
Uncertainty quantification in metric spaces—0
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningCode0
Uncertainty Quantification Metrics for Deep Regression—0
Multiparameter regularization and aggregation in the context of polynomial functional regression—0
Differentially Private Post-Processing for Fair RegressionCode0
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference—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