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regression

Papers

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Showing 4351–4400 of 9424 papers

TitleStatusHype
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions—0
Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals—0
Near-Optimal Linear Regression under Distribution Shift—0
Training Data Subset Selection for Regression with Controlled Generalization ErrorCode0
Heterogeneous Treatment Effects in Regression Discontinuity DesignsCode0
Sparsistent Model DiscoveryCode0
Universal Domain Adaptation in Ordinal Regression—0
Robust Regression Revisited: Acceleration and Improved Estimation Rates—0
Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field ReconstructionCode0
MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRICode0
On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests—0
Transfer Bayesian Meta-learning via Weighted Free Energy MinimizationCode1
Robust Regression via Model Based Methods—0
Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis—0
Progressive Contour Regression for Arbitrary-Shape Scene Text DetectionCode0
CapsuleRRT: Relationships-Aware Regression Tracking via Capsules—0
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach—0
On the benefits of maximum likelihood estimation for Regression and Forecasting—0
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation—0
Learning to Plan via a Multi-Step Policy Regression Method—0
Performance Evaluation of Classification Models for Household Income, Consumption and Expenditure Data Set—0
A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams—0
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting—0
On the Power of Preconditioning in Sparse Linear Regression—0
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparisonCode0
Exploring the Properties and Evolution of Neural Network Eigenspaces during Training—0
Statistical Query Lower Bounds for List-Decodable Linear Regression—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting—0
Semiparametric count data regression for self-reported mental health—0
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables—0
On the approximation capability of GNNs in node classification/regression tasksCode0
Regularization-Induced Bias and Consistency in Recursive Least Squares—0
Leveraging Probabilistic Circuits for Nonparametric Multi-Output RegressionCode0
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios—0
Non-PSD Matrix Sketching with Applications to Regression and Optimization—0
Costs and Benefits of Fair Regression—0
Kernel Identification Through TransformersCode1
Tree-Values: selective inference for regression treesCode1
Scaling Neural Tangent Kernels via Sketching and Random FeaturesCode1
Efficient Facial Expression Analysis For Dimensional Affect Recognition Using Geometric FeaturesCode1
A Wasserstein Minimax Framework for Mixed Linear RegressionCode0
An Extended Multi-Model Regression Approach for Compressive Strength Prediction and Optimization of a Concrete Mixture—0
Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion ArtifactsCode0
Semi-supervised Active Regression—0
Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique—0
Invariance Principle Meets Information Bottleneck for Out-of-Distribution GeneralizationCode1
Sparse Bayesian Learning via Stepwise RegressionCode1
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm—0
Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation—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