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regression

Papers

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Showing 1476–1500 of 9424 papers

TitleStatusHype
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization—0
Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression—0
Review of Recent Advances in Gaussian Process Regression Methods—0
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data—0
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models—0
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression—0
Extending Explainable Ensemble Trees (E2Tree) to regression contexts—0
Approximation Bounds for Recurrent Neural Networks with Application to Regression—0
Regression with Large Language Models for Materials and Molecular Property Prediction—0
Inference for Large Scale Regression Models with Dependent Errors—0
Lepskii Principle for Distributed Kernel Ridge Regression—0
Active learning for regression in engineering populations: A risk-informed approach—0
A semi-supervised learning using over-parameterized regression—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm—0
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression—0
The Prevalence of Neural Collapse in Neural Multivariate Regression—0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous SolubilityCode0
Performance of Empirical Risk Minimization For Principal Component Regression—0
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality—0
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration—0
Tensor network square root Kalman filter for online Gaussian process regression—0
Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry—0
Demographic parity in regression and classification within the unawareness framework—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