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regression

Papers

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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
Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions—0
Gauss-Legendre Features for Gaussian Process Regression—0
Gaze-Sensing LEDs for Head Mounted Displays—0
GBSVR: Granular Ball Support Vector Regression—0
Deep graphical regression for jointly moderate and extreme Australian wildfires—0
GCCRR: A Short Sequence Gait Cycle Segmentation Method Based on Ear-Worn IMU—0
Conditional expectation network for SHAP—0
Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates—0
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search—0
A Lottery-Demand-Based Explanation of the Beta Anomaly—0
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression—0
Asymptotic Theory for Two-Way Clustering—0
General Fair Empirical Risk Minimization—0
General Game Heuristic Prediction Based on Ludeme Descriptions—0
Generalisation error in learning with random features and the hidden manifold model—0
Generalised Bayesian Filtering via Sequential Monte Carlo—0
Global quantitative robustness of regression feed-forward neural networks—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
Deep Generative Quantile-Copula Models for Probabilistic Forecasting—0
Generalization bounds for nonparametric regression with β-mixing samples—0
Generalization bounds for regression and classification on adaptive covering input domains—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Generalization Error Bounds for Multiclass Sparse Linear Classifiers—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
Conditional Rank-Rank Regression—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
Attribute Efficient Linear Regression with Data-Dependent Sampling—0
Generalization Properties of hyper-RKHS and its Applications—0
Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression—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
Conditioned Regression Models for Non-Blind Single Image Super-Resolution—0
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer—0
Conditioning of Random Feature Matrices: Double Descent and Generalization Error—0
Deep Gaussian Processes for Regression using Approximate Expectation Propagation—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