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regression

Papers

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Showing 2776–2800 of 9424 papers

TitleStatusHype
Covariate balancing using the integral probability metric for causal inferenceCode0
Explaining Emergent In-Context Learning as Kernel Regression—0
Meta-in-context learning in large language modelsCode0
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors—0
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and PracticeCode0
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows—0
Towards Unsupervised Recognition of Token-level Semantic Differences in Related DocumentsCode0
Contrastive inverse regression for dimension reduction—0
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability—0
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and RegressionCode0
Probabilistic Lexicase SelectionCode0
PDE-constrained Gaussian process surrogate modeling with uncertain data locationsCode0
Deep Image Compression Using Scene Text Quality Assessment—0
The noise level in linear regression with dependent data—0
Statistical Estimation for Covariance Structures with Tail Estimates using Nodewise Quantile Predictive Regression Models—0
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object PoseCode0
Active Learning in Symbolic Regression with Physical Constraints—0
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution—0
Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks—0
Two-Stream Regression Network for Dental Implant Position Prediction—0
On Consistency of Signature Using Lasso—0
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems—0
Conditional variational autoencoder with Gaussian process regression recognition for parametric models—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