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regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2026–2050 of 9424 papers

TitleStatusHype
Towards a Systematic Approach to Design New Ensemble Learning AlgorithmsCode0
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition—0
Nonparametric Instrumental Variable Regression through Stochastic Approximate GradientsCode0
Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results—0
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest RadiographsCode0
Implicit Bias and Fast Convergence Rates for Self-attention—0
Riemann-Lebesgue Forest for Regression—0
A comparative study on feature selection for a risk prediction model for colorectal cancer—0
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression—0
Fast Online Changepoint Detection—0
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems—0
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernelsCode0
Multilinear Kernel Regression and Imputation via Manifold Learning—0
An Optimal House Price Prediction Algorithm: XGBoost—0
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression—0
Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations—0
A flexible Bayesian g-formula for causal survival analyses with time-dependent confoundingCode0
A Fast Method for Lasso and Logistic Lasso—0
The Developmental Landscape of In-Context Learning—0
Query-decision Regression between Shortest Path and Minimum Steiner TreeCode0
One-inflated zero-truncated Poisson and negative binomial regression models—0
Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression ModelsCode0
Direct side information learning for zero-shot regressionCode0
Target inductive methods for zero-shot regressionCode0
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum—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