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regression

Papers

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Showing 2051–2075 of 9424 papers

TitleStatusHype
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression—0
A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN—0
Bayesian Optimization with Informative Covariance—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression—0
Inference on Strongly Identified Functionals of Weakly Identified Functions—0
An Analysis of Loss Functions for Binary Classification and Regression—0
A better method to enforce monotonic constraints in regression and classification trees—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
A deep learning-based method for relative location prediction in CT scan images—0
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods—0
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension—0
Debiasing Continuous-time Nonlinear Autoregressions—0
Bayesian Nonlinear Regression using Sums of Simple Functions—0
Bayesian Neural Network via Stochastic Gradient Descent—0
An analysis of least squares regression and neural networks approximation for the pricing of swing options—0
Bayesian Neural Networks: An Introduction and Survey—0
Bayesian Network Learning via Topological Order—0
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features—0
A Deep Learning Approach for Characterizing Major Galaxy Mergers—0
Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications—0
Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification—0
An Analysis of Active Learning With Uniform Feature Noise—0
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood—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