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regression

Papers

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Showing 9301–9350 of 9424 papers

TitleStatusHype
Fixed-Form Variational Posterior Approximation through Stochastic Linear RegressionCode0
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound—0
Improved Information Gain Estimates for Decision Tree Induction—0
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results—0
Tuning as Linear Regression—0
Regression with Phrase Indicators for Estimating MT Quality—0
A Generalized Kernel Approach to Structured Output Learning—0
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
Optimal learning rates for least squares SVMs using Gaussian kernels—0
Continuous-Time Regression Models for Longitudinal Networks—0
Sparse recovery by thresholded non-negative least squares—0
Sparse Bayesian Multi-Task Learning—0
k-NN Regression Adapts to Local Intrinsic Dimension—0
Generalized Beta Mixtures of Gaussians—0
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression—0
Semi-supervised Regression via Parallel Field Regularization—0
Non-conjugate Variational Message Passing for Multinomial and Binary Regression—0
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity—0
Convergent Fitted Value Iteration with Linear Function Approximation—0
Regularized Laplacian Estimation and Fast Eigenvector Approximation—0
Sparse Features for PCA-Like Linear Regression—0
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors—0
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning—0
Projection onto A Nonnegative Max-Heap—0
Gaussian Process Training with Input Noise—0
Statistical Tests for Optimization Efficiency—0
On Causal Discovery with Cyclic Additive Noise Models—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
Relaxed Clipping: A Global Training Method for Robust Regression and Classification—0
A Dirty Model for Multi-task Learning—0
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization—0
Heavy-Tailed Process Priors for Selective Shrinkage—0
Scrambled Objects for Least-Squares Regression—0
Pose-Sensitive Embedding by Nonlinear NCA Regression—0
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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