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regression

Papers

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Showing 651–675 of 9424 papers

TitleStatusHype
Neural Symbolic Regression of Complex Network Dynamics—0
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals—0
Optimal lower bounds for logistic log-likelihoods—0
Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?—0
Statistical Properties of Deep Neural Networks with Dependent Data—0
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decomposition—0
Data Deletion for Linear Regression with Noisy SGD—0
Minimax rates of convergence for nonparametric regression under adversarial attacks—0
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time InterventionsCode0
Scalable Signature-Based Distribution Regression via Reference Sets—0
Ranking over Regression for Bayesian Optimization and Molecule SelectionCode0
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison—0
Calibrated Computation-Aware Gaussian ProcessesCode0
Kolmogorov-Arnold Neural Networks for High-Entropy Alloys Design—0
Theoretical limits of descending _0 sparse-regression ML algorithms—0
Robustness Auditing for Linear Regression: To Singularity and BeyondCode0
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks—0
Shap-Select: Lightweight Feature Selection Using SHAP Values and RegressionCode1
Optimizing Estimators of Squared Calibration Errors in Classification—0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks—0
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression—0
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image 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