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regression

Papers

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Showing 3101–3125 of 9424 papers

TitleStatusHype
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils—0
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning—0
Sketched Ridgeless Linear Regression: The Role of DownsamplingCode0
Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls—0
Bayes-optimal Learning of Deep Random Networks of Extensive-width—0
Learning Functional TransductionCode0
A Nearly-Optimal Bound for Fast Regression with _ Guarantee—0
Dictionary-based Manifold LearningCode0
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression—0
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression—0
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond—0
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features—0
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data DistillationCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
Understanding Self-Distillation in the Presence of Label Noise—0
Near Optimal Private and Robust Linear Regression—0
Implicit Regularization for Group SparsityCode0
Development of Machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (Case study)—0
Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based SentimentCode0
Controlling Steering with Energy-Based Models—0
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System—0
A Simple Algorithm For Scaling Up Kernel MethodsCode0
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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