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regression

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Showing 6401–6450 of 9424 papers

TitleStatusHype
The generalization error of random features regression: Precise asymptotics and double descent curve—0
The Generalized Complex Kernel Least-Mean-Square Algorithm—0
The Geometry of Over-parameterized Regression and Adversarial Perturbations—0
The gradient complexity of linear regression—0
The Great Equalizer: Medicare and the Geography of Consumer Financial Strain—0
The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection—0
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit—0
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey—0
The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks—0
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection—0
The impact of imbalanced training data on machine learning for author name disambiguation—0
The Impact of Regularization on High-dimensional Logistic Regression—0
The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent—0
The Impact of the Mini-batch Size on the Dynamics of SGD: Variance and Beyond—0
The Impact of Using Regression Models to Build Defect Classifiers—0
The Implicit Bias of Benign Overfitting—0
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing—0
The Implicit Regularization of Momentum Gradient Descent with Early Stopping—0
The Implicit Regularization of Stochastic Gradient Flow for Least Squares—0
ODBAE: a high-performance model identifying complex phenotypes in high-dimensional biological datasets—0
The Incremental Proximal Method: A Probabilistic Perspective—0
The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version—0
The Information of Large Language Model Geometry—0
The Information Theoretically Efficient Model (ITEM): A model for computerized analysis of large datasets—0
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training—0
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting -- An Analytical Model—0
The Landscape of Empirical Risk for Non-convex Losses—0
The leaky integrator that could: Or recursive polynomial regression for online signal analysis—0
The least squares method for option pricing revisited—0
The Lepto-Variance of Stock Returns—0
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square—0
The Limits of Learning with Missing Data—0
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression—0
The Logistic Network Lasso—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
The maximum penalty criterion for ridge regression: application to the calibration of the force constant in elastic network models—0
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors—0
The modal age of Statistics—0
The NeRFect Match: Exploring NeRF Features for Visual Localization—0
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization—0
The noise level in linear regression with dependent data—0
The Nonlinear Impact of Minimum Wage on Labor Employment in China—0
The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression—0
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization—0
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals—0
Theoretical Analysis of Consistency Regularization with Limited Augmented Data—0
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs—0
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification—0
Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry—0
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective—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