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regression

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Showing 3701–3750 of 9424 papers

TitleStatusHype
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality—0
Gaussians on Riemannian Manifolds: Applications for Robot Learning and Adaptive Control—0
Adversarially Robust PAC Learnability of Real-Valued Functions—0
Gauss-Legendre Features for Gaussian Process Regression—0
Error Correcting Algorithms for Sparsely Correlated Regressors—0
GBSVR: Granular Ball Support Vector Regression—0
Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions—0
GCCRR: A Short Sequence Gait Cycle Segmentation Method Based on Ear-Worn IMU—0
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions—0
Error Bounds for Piecewise Smooth and Switching Regression—0
Calibrating Uncertainties in Object Localization Task—0
Error Asymmetry in Causal and Anticausal Regression—0
Error analysis of regularized least-square regression with Fredholm kernel—0
Error Analysis of Generalized Nyström Kernel Regression—0
General Fair Empirical Risk Minimization—0
General Game Heuristic Prediction Based on Ludeme Descriptions—0
Calibrated Reliable Regression using Maximum Mean Discrepancy—0
Generalised Bayesian Filtering via Sequential Monte Carlo—0
Adversarially Robust Estimate and Risk Analysis in Linear Regression—0
Generalization Ability of Wide Residual Networks—0
Generalization and Robustness of Batched Weighted Average Algorithm with V-geometrically Ergodic Markov Data—0
Generalization bound for kernel similarity learning—0
A Consistent Estimator for Confounding Strength—0
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers—0
ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees—0
Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay—0
Generalization Error for Linear Regression under Distributed Learning—0
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization—0
Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression—0
Calibrated Multivariate Regression with Localized PIT Mappings—0
Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration—0
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime—0
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes—0
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers—0
Generalization for Least Squares Regression With Simple Spiked Covariances—0
Generalization in Kernel Regression Under Realistic Assumptions—0
Generalization in Supervised Learning Through Riemannian Contraction—0
Equivalence of Learning Algorithms—0
Generalization Properties of hyper-RKHS and its Applications—0
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies—0
Generalized Ambiguity Decomposition for Understanding Ensemble Diversity—0
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy—0
Generalized Beta Mixtures of Gaussians—0
Chernoff Sampling for Active Testing and Extension to Active Regression—0
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals—0
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery—0
An Improved Deep Belief Network Model for Road Safety Analyses—0
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors—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