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regression

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Showing 3351–3375 of 9424 papers

TitleStatusHype
Fast Approximate L_infty Minimization: Speeding Up Robust Regression—0
Can we trust the bootstrap in high-dimension?—0
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model—0
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
An Inverse QSAR Method Based on Linear Regression and Integer Programming—0
A Convergent Linear Regression Method for Forward-Backward Stochastic Differential Equations with Jumps—0
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes—0
Estimation of a regression function on a manifold by fully connected deep neural networks—0
Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression—0
Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression—0
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression—0
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression—0
Fast, Dense Feature SDM on an iPhone—0
Can we achieve robustness from data alone?—0
Fast DPP Sampling for Nyström with Application to Kernel Methods—0
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation—0
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data—0
Estimation and Inference with Trees and Forests in High Dimensions—0
Estimation and Inference in Boundary Discontinuity Designs—0
Faster Kernel Interpolation for Gaussian Processes—0
Estimation and Inference by Stochastic Optimization: Three Examples—0
Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method—0
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation—0
An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction—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