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regression

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Showing 2501–2550 of 9424 papers

TitleStatusHype
Convex block-sparse linear regression with expanders -- provably—0
Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach Sets—0
A Simplified Analysis of SGD for Linear Regression with Weight Averaging—0
A Greedy Search Tree Heuristic for Symbolic Regression—0
Active Regression via Linear-Sample Sparsification—0
Accuracy of the Epic Sepsis Prediction Model in a Regional Health System—0
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
A simple DNN regression for the chemical composition in essential oil—0
Convergent Fitted Value Iteration with Linear Function Approximation—0
Convergence rates of sub-sampled Newton methods—0
A simple but powerful tail index regression—0
A Greedy Homotopy Method for Regression with Nonconvex Constraints—0
Convergence rates of Kernel Conjugate Gradient for random design regression—0
Convergence Rates of Active Learning for Maximum Likelihood Estimation—0
A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality—0
On the existence of the maximum likelihood estimate and convergence rate under gradient descent for multi-class logistic regression—0
Convergence rate of Bayesian tensor estimator: Optimal rate without restricted strong convexity—0
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound—0
A Graph-Based Approach for Active Learning in Regression—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Convergence of Two-Layer Regression with Nonlinear Units—0
Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition—0
Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems—0
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models—0
Convergence guarantees for forward gradient descent in the linear regression model—0
A semi-supervised learning framework for quantitative structure-activity regression modelling—0
Convergence analysis of online algorithms for vector-valued kernel regression—0
A Semi-parametric Realized Joint Value-at-Risk and Expected Shortfall Regression Framework—0
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning—0
Active Regression by Stratification—0
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting—0
5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning—0
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems—0
Controlling Steering with Energy-Based Models—0
A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls—0
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound—0
A selective review of sufficient dimension reduction for multivariate response regression—0
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing—0
Controllable Neural Symbolic Regression—0
Contrastive Weighted Learning for Near-Infrared Gaze Estimation—0
Agnostic Sample Compression Schemes for Regression—0
Active Output Selection Strategies for Multiple Learning Regression Models—0
Contrastive Representation Learning for Acoustic Parameter Estimation—0
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
Contrastive Learning for Regression on Hyperspectral Data—0
A Safe Screening Rule for Sparse Logistic Regression—0
Agnostic Proper Learning of Halfspaces under Gaussian Marginals—0
Contrastive inverse regression for dimension reduction—0
Contrasting random and learned features in deep Bayesian linear regression—0
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression—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