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regression

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Showing 2851–2875 of 9424 papers

TitleStatusHype
Efficient algorithms for multivariate shape-constrained convex regression problems—0
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization—0
Efficient Algorithms for Outlier-Robust Regression—0
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement—0
Efficient and Adaptive Linear Regression in Semi-Supervised Settings—0
Efficient and Consistent Robust Time Series Analysis—0
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction—0
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses—0
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery—0
Efficient AUC Optimization for Information Ranking Applications—0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts—0
Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation—0
Deep Learning Regression of VLSI Plasma Etch Metrology—0
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression—0
Efficient Contextual Bandits with Uninformed Feedback Graphs—0
Efficient coordinate-wise leading eigenvector computation—0
Covariate Adjustment in Stratified Experiments—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
Efficient Distributed Learning with Sparsity—0
Bivariate vine copula based regression, bivariate level and quantile curves—0
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—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