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regression

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Showing 1201–1225 of 9424 papers

TitleStatusHype
A Bayesian Lasso based Sparse Learning Model—0
A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement—0
Adversarial Robustness of Streaming Algorithms through Importance Sampling—0
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization—0
Benign overfitting and adaptive nonparametric regression—0
An Note on Why Geographically Weighted Regression Overcomes Multidimensional-Kernel-Based Varying-Coefficient Model—0
ANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process—0
Adversarial Robustness of In-Context Learning in Transformers for Linear Regression—0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression—0
Multi-Kernel Regression with Sparsity Constraint—0
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates—0
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression—0
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts—0
An _1,l_2,l_\-Regularization Approach to High-Dimensional Errors-in-variables Models—0
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion—0
An Iterative, Sketching-based Framework for Ridge Regression—0
An Iterative Regression Approach for Face Pose Estimation from RGB Images—0
A convex formulation for high-dimensional sparse sliced inverse regression—0
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics—0
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression—0
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks—0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression—0
Anisotropic Random Feature Regression in High Dimensions—0
Adversarial Regression with Doubly Non-negative Weighting Matrices—0
An Inverse QSAR Method Based on Linear Regression and Integer Programming—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