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regression

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Showing 9301–9350 of 9424 papers

TitleStatusHype
Improved Information Gain Estimates for Decision Tree Induction—0
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results—0
Regression with Phrase Indicators for Estimating MT Quality—0
Tuning as Linear Regression—0
A Generalized Kernel Approach to Structured Output Learning—0
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
On Power-law Kernels, corresponding Reproducing Kernel Hilbert Space and Applications—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
Polynomial expansion of the binary classification functionCode0
Algorithms for Learning Kernels Based on Centered Alignment—0
Near-optimal Coresets For Least-Squares Regression—0
Lossy Compression via Sparse Linear Regression: Performance under Minimum-distance Encoding—0
Kernels on Sample Sets via Nonparametric Divergence Estimates—0
Additive Gaussian ProcessesCode0
Regularized Laplacian Estimation and Fast Eigenvector Approximation—0
Convergent Fitted Value Iteration with Linear Function Approximation—0
Sparse Features for PCA-Like Linear Regression—0
Continuous-Time Regression Models for Longitudinal Networks—0
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity—0
Statistical Tests for Optimization Efficiency—0
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression—0
Sparse recovery by thresholded non-negative least squares—0
Projection onto A Nonnegative Max-Heap—0
Semi-supervised Regression via Parallel Field Regularization—0
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors—0
Non-conjugate Variational Message Passing for Multinomial and Binary Regression—0
Sparse Bayesian Multi-Task Learning—0
Generalized Beta Mixtures of Gaussians—0
k-NN Regression Adapts to Local Intrinsic Dimension—0
On Causal Discovery with Cyclic Additive Noise Models—0
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning—0
Gaussian Process Training with Input Noise—0
Optimal learning rates for least squares SVMs using Gaussian kernels—0
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension—0
Regression for sets of polynomial equations—0
Gaussian Process Regression NetworksCode0
Overlapping Mixtures of Gaussian Processes for the Data Association Problem—0
Bayesian Learning via Stochastic Gradient Langevin DynamicsCode0
Random design analysis of ridge regression—0
Adaptive and optimal online linear regression on ^1-balls—0
A Risk Comparison of Ordinary Least Squares vs Ridge Regression—0
Sparsity regret bounds for individual sequences in online linear regression—0
Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection—0
Optimal learning rates for Kernel Conjugate Gradient regression—0
Graph-Valued Regression—0
Scrambled Objects for Least-Squares Regression—0
Heavy-Tailed Process Priors for Selective Shrinkage—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
t-logistic regression—0
A Family of Penalty Functions for Structured Sparsity—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