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regression

Papers

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Showing 7001–7050 of 9424 papers

TitleStatusHype
On monitoring development indicators using high resolution satellite images—0
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression—0
On Multitask Loss Function for Audio Event Detection and Localization—0
A Distribution-Dependent Analysis of Meta-Learning—0
On Power-law Kernels, corresponding Reproducing Kernel Hilbert Space and Applications—0
On Principal Components Regression, Random Projections, and Column Subsampling—0
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression—0
On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data—0
On Randomized Distributed Coordinate Descent with Quantized Updates—0
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis—0
On ranking via sorting by estimated expected utility—0
On regression analysis with Padé approximants—0
On Regularization via Early Stopping for Least Squares Regression—0
On regularized polynomial functional regression—0
On Regularized Sparse Logistic Regression—0
On Regularizing Coordinate-MLPs—0
On relative universality, regression operator, and conditional independence—0
On Robust Inference in Time Series Regression—0
On semiparametric estimation of the intercept of the sample selection model: a kernel approach—0
On Semi-parametric Inference for BART—0
On semi-supervised estimation using exponential tilt mixture models—0
On Single-environment Extrapolations in Graph Classification and Regression Tasks—0
On Sparse Gaussian Chain Graph Models—0
On sparse regression, Lp-regularization, and automated model discovery—0
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay—0
On the benefits of maximum likelihood estimation for Regression and Forecasting—0
On the Choice of Instruments in Mixed Frequency Specification Tests—0
On the coercivity condition in the learning of interacting particle systems—0
On the complexity of logistic regression models—0
On the complexity of switching linear regression—0
On the Consistency of Fairness Measurement Methods for Regression Tasks—0
On the Consistency of Ordinal Regression Methods—0
On the Consistency of Quick Shift—0
On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing—0
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces—0
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks—0
On the convergence of the IRLS algorithm in Non-Local Patch Regression—0
On the Correspondence between Gaussian Processes and Geometric Harmonics—0
On the Double Descent of Random Features Models Trained with SGD—0
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses—0
On the Effectiveness of Genetic Operations in Symbolic Regression—0
On the Equivalence between Online and Private Learnability beyond Binary Classification—0
On the exact minimization of saturated loss functions for robust regression and subspace estimation—0
On the Exponentially Weighted Aggregate with the Laplace Prior—0
On the expressivity of deep Heaviside networks—0
On the Feasibility of Distributed Kernel Regression for Big Data—0
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation—0
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression—0
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data—0
On the inability of Gaussian process regression to optimally learn compositional functions—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