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regression

Papers

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Showing 151–175 of 9424 papers

TitleStatusHype
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization—0
Physics-informed features in supervised machine learning—0
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression—0
Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic RegressionCode0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
Distributed Time-Varying Gaussian Regression via Kalman FilteringCode0
Data Selection for ERMs—0
Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach—0
Local distribution-based adaptive oversampling for imbalanced regression—0
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models—0
Direct Advantage Regression: Aligning LLMs with Online AI Reward—0
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings—0
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces—0
How Much Weak Overlap Can Doubly Robust T-Statistics Handle?—0
Bayesian Density-Density Regression with Application to Cell-Cell Communications—0
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks—0
Approximation Bounds for Transformer Networks with Application to Regression—0
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations—0
On relative universality, regression operator, and conditional independence—0
Differentially Private Geodesic and Linear Regression—0
Correcting Domain Shifts in Electric Motor Vibration Data for Unseen Operating Conditions—0
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision—0
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks—0
In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods—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