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regression

Papers

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Showing 2001–2025 of 9424 papers

TitleStatusHype
CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation LearningCode0
An analysis of least squares regression and neural networks approximation for the pricing of swing options—0
Ensemble learning for blending gridded satellite and gauge-measured precipitation data—0
From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training—0
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance—0
Explainable quantum regression algorithm with encoded data structure—0
Optimal Learners for Realizable Regression: PAC Learning and Online Learning—0
Scalable Membership Inference Attacks via Quantile Regression—0
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data—0
On Unified Adaptive Portfolio Management—0
A Combinatorial Characterization of Supervised Online Learnability—0
Learning Theory of Distribution Regression with Neural Networks—0
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention—0
Few-shot Personalized Saliency Prediction Based on Inter-personnel Gaze Patterns—0
Beyond Intuition, a Framework for Applying GPs to Real-World DataCode0
When No-Rejection Learning is Consistent for Regression with RejectionCode0
OLR-WA Online Regression with Weighted Average—0
Conditional independence testing under misspecified inductive biasesCode0
Panel Data Nowcasting: The Case of Price-Earnings Ratios—0
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions—0
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick—0
Hybrid additive modeling with partial dependence for supervised regression and dynamical systems forecastingCode0
Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description—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