SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 9424 papers

TitleStatusHype
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding—0
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression NetworksCode0
Distributionally Robust Active Learning for Gaussian Process Regression—0
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression—0
On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data—0
A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction—0
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN ArchitecturesCode0
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input—0
Gaussian Process Regression for Improved Underwater Navigation—0
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models—0
Human Guided Learning of Transparent Regression Models—0
Explaining the Success of Nearest Neighbor Methods in Prediction—0
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements—0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
biastest: Testing parameter equality across different models in Stata—0
Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework—0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models—0
OGBoost: A Python Package for Ordinal Gradient Boosting—0
Regression in EO: Are VLMs Up to the Challenge?—0
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models—0
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression—0
Task Shift: From Classification to Regression in Overparameterized Linear ModelsCode0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian NetworksCode0
Asymptotic Optimism of Random-Design Linear and Kernel Regression Models—0
On the kernel learning problem—0
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression—0
Bi-invariant Geodesic Regression with Data from the Osteoarthritis Initiative—0
Transfer Learning of CATE with Kernel Ridge RegressionCode0
Generalized Factor Neural Network Model for High-dimensional Regression—0
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN—0
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression—0
Variational empirical Bayes variable selection in high-dimensional logistic regression—0
Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series—0
Using Artificial Intelligence to Improve Classroom Learning Experience—0
Improving Deep Regression with TightnessCode0
Predicting Cognitive Decline: A Multimodal AI Approach to Dementia Screening from Speech—0
High-dimensional censored MIDAS logistic regression for corporate survival forecastingCode0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
Fast Tensor Completion via Approximate Richardson Iteration—0
Zero-shot Concept Bottleneck ModelsCode0
TRKM: Twin Restricted Kernel Machines for Classification and Regression—0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Recurrent Memory for Online Interdomain Gaussian Processes—0
Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement Learning—0
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths—0
Uniform Kernel ProberCode0
Analysis of Overparameterization in Continual Learning under a Linear Model—0
Show:102550
← PrevPage 22 of 189Next →
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