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regression

Papers

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Showing 2751–2800 of 9424 papers

TitleStatusHype
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers—0
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression—0
Shape-based pose estimation for automatic standard views of the knee—0
Detecting Errors in a Numerical Response via any Regression ModelCode0
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks—0
Local Search, Semantics, and Genetic Programming: a Global Analysis—0
Symbolic Regression via Control Variable Genetic ProgrammingCode0
Privacy-aware Gaussian Process Regression—0
Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel—0
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality—0
Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach—0
Dropout Drops Double Descent—0
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID—0
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression—0
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production—0
Classic machine learning methods—0
RSRM: Reinforcement Symbolic Regression Machine—0
Uncertainty Voting Ensemble for Imbalanced Deep RegressionCode0
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Least Squares Regression Can Exhibit Under-Parameterized Double Descent—0
Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis—0
Flexible Bayesian Quantile Analysis of Residential Rental Rates—0
On the Size and Approximation Error of Distilled Sets—0
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimensionCode0
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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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