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regression

Papers

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Showing 3601–3650 of 9424 papers

TitleStatusHype
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression—0
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy—0
Multi-Modal Recurrent Fusion for Indoor Localization—0
Differentially Private Regression with Unbounded Covariates—0
A new LDA formulation with covariates—0
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
Robust Frequency Constrained UC Using Data Driven Logistic Regression for Island Power Systems—0
Synthetic Control As Online Linear Regression—0
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook—0
Probing Pretrained Models of Source CodeCode0
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe ScreeningCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis—0
Continuously Generalized Ordinal Regression for Linear and Deep Models—0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression—0
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field ReconstructionCode0
Spiking Cochlea with System-level Local Automatic Gain Control—0
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal TransportCode1
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression—0
The Impact of Using Regression Models to Build Defect Classifiers—0
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound—0
Posterior Consistency for Bayesian Relevance Vector Machines—0
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach—0
Scale-free Unconstrained Online Learning for Curved Losses—0
Random Forest Weighted Local Fréchet Regression with Random Objects—0
L0Learn: A Scalable Package for Sparse Learning using L0 RegularizationCode1
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in ImagingCode1
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression—0
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology ImagesCode1
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP—0
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic RegressionCode0
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China—0
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes—0
Learning to Predict Graphs with Fused Gromov-Wasserstein BarycentersCode1
SCR: Smooth Contour Regression with Geometric Priors—0
Fourier Representations for Black-Box Optimization over Categorical Variables—0
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning—0
Distribution Regression with Sliced Wasserstein KernelsCode0
Metric-valued regression—0
Optimal Ratio for Data Splitting—0
Measuring and Reducing Model Update Regression in Structured Prediction for NLP—0
Machine Learning Models in Stock Market Prediction—0
A new similarity measure for covariate shift with applications to nonparametric regression—0
HARFE: Hard-Ridge Random Feature ExpansionCode0
Influence of different factors on survival of patients with colorectal cancer—0
Minimax Optimal Algorithms with Fixed-k-Nearest NeighborsCode0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—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