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regression

Papers

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Showing 301–350 of 9424 papers

TitleStatusHype
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models—0
Explaining the Success of Nearest Neighbor Methods in Prediction—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
biastest: Testing parameter equality across different models in Stata—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework—0
Regression in EO: Are VLMs Up to the Challenge?—0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models—0
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models—0
OGBoost: A Python Package for Ordinal Gradient Boosting—0
The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian NetworksCode0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Asymptotic Optimism of Random-Design Linear and Kernel Regression Models—0
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression—0
Task Shift: From Classification to Regression in Overparameterized Linear ModelsCode0
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
On the kernel learning problem—0
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN—0
Generalized Factor Neural Network Model for High-dimensional Regression—0
Using Artificial Intelligence to Improve Classroom Learning Experience—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
TRKM: Twin Restricted Kernel Machines for Classification and Regression—0
High-dimensional censored MIDAS logistic regression for corporate survival forecastingCode0
Zero-shot Concept Bottleneck ModelsCode0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
Improving Deep Regression with TightnessCode0
Fast Tensor Completion via Approximate Richardson Iteration—0
Predicting Cognitive Decline: A Multimodal AI Approach to Dementia Screening from Speech—0
Recurrent Memory for Online Interdomain Gaussian Processes—0
Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement Learning—0
Analysis of Overparameterization in Continual Learning under a Linear Model—0
Evaluation for Regression Analyses on Evolving Data StreamsCode0
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths—0
Uniform Kernel ProberCode0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Does the financialization of agricultural commodities impact food security? An empirical investigation—0
Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization—0
PoI: Pixel of Interest for Novel View Synthesis Assisted Scene Coordinate Regression—0
Tighter sparse variational Gaussian processes—0
Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models—0
Gaussian Process Regression for Inverse Problems in Linear PDEs—0
Type 2 Tobit Sample Selection Models with Bayesian Additive Regression Trees—0
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design FrameworkCode1
Heteroscedastic Double Bayesian Elastic Net—0
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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