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regression

Papers

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Showing 4601–4625 of 9424 papers

TitleStatusHype
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data—0
Machine learning of Kondo physics using variational autoencoders and symbolic regressionCode0
Flexible Covariate Adjustments in Regression Discontinuity Designs—0
LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects—0
Chi-square and normal inference in high-dimensional multi-task regression—0
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time—0
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data—0
Credit scoring using neural networks and SURE posterior probability calibration—0
Performance of Bayesian linear regression in a model with mismatch—0
Oblivious sketching for logistic regressionCode0
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Semiparametric Latent Topic Modeling on Consumer-Generated Corpora—0
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression—0
Bidirectional Regression for Arbitrary-Shaped Text Detection—0
Least-Squares Linear Dilation-Erosion Regressor Trained using a Convex-Concave Procedure—0
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic ResponsesCode0
Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping—0
Adapting to Misspecification in Contextual Bandits—0
Machine Learning based CVD Virtual Metrology in Mass Produced Semiconductor Process—0
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous DrivingCode0
Goal scoring in Premier League with Poisson regression—0
Cluster Regularization via a Hierarchical Feature Regression—0
Meta-aprendizado para otimizacao de parametros de redes neurais—0
Learning-Based Nonlinear H^ Control via Game-Theoretic Differential Dynamic Programming—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