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regression

Papers

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Showing 5026–5050 of 9424 papers

TitleStatusHype
The Expediting Effect of Monitoring on Infrastructural Works. A Regression-Discontinuity Approach with Multiple Assignment Variables—0
The MELODIC family for simultaneous binary logistic regression in a reduced spaceCode0
Trees-Based Models for Correlated DataCode0
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics—0
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients—0
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression—0
Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions—0
A generalized quadratic loss for SVM and Deep Neural Networks—0
RMS-Net: Regression and Masking for Soccer Event SpottingCode0
Distribution Free Uncertainty for the Minimum Norm Solution of Over-parameterized Linear Regression—0
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning—0
Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs—0
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects EstimationCode0
Q-Value Weighted Regression: Reinforcement Learning with Limited DataCode0
EventScore: An Automated Real-time Early Warning Score for Clinical Events—0
Explainability in CNN Models By Means of Z-Scores—0
On Agnostic PAC Learning using L_2-polynomial Regression and Fourier-based Algorithms—0
Towards Feature-Based Performance Regression Using Trajectory Data—0
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits—0
Agnostic Proper Learning of Halfspaces under Gaussian Marginals—0
A Deep Learning Approach for Characterizing Major Galaxy Mergers—0
Regularization Strategies for Quantile Regression—0
Ising Model Selection Using _1-Regularized Linear Regression: A Statistical Mechanics Analysis—0
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals—0
Inference under Covariate-Adaptive Randomization with Imperfect Compliance—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