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regression

Papers

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Showing 501–525 of 9424 papers

TitleStatusHype
A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net—0
Locally robust semiparametric estimation of sample selection models without exclusion restrictions—0
Iterative Distributed Multinomial RegressionCode0
Spatial Conformal Inference through Localized Quantile Regression—0
Thermal Vision: Pioneering Non-Invasive Temperature Tracking in Congested Spaces—0
Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning at Adyen—0
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression—0
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift—0
Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal—0
Density-Calibrated Conformal Quantile Regression—0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression—0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
Aggregating Data for Optimal and Private Learning—0
ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection—0
Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable—0
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast—0
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy—0
Evaluating Rank-N-Contrast: Continuous and Robust Representations for Regression—0
Effective Non-Random Extreme Learning MachineCode0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis—0
Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image—0
Quantile deep learning models for multi-step ahead time series predictionCode0
Understanding LLM Embeddings for Regression—0
Gradient-based optimization for variational empirical Bayes multiple regressionCode0
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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