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regression

Papers

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Showing 9351–9400 of 9424 papers

TitleStatusHype
Multivariate Dyadic Regression Trees for Sparse Learning Problems—0
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression—0
Exact learning curves for Gaussian process regression on large random graphs—0
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks—0
A Dirty Model for Multi-task Learning—0
Relaxed Clipping: A Global Training Method for Robust Regression and Classification—0
Adaptive Multi-Task Lasso: with Application to eQTL Detection—0
Fast global convergence rates of gradient methods for high-dimensional statistical recovery—0
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation—0
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization—0
Decomposing Isotonic Regression for Efficiently Solving Large Problems—0
Pose-Sensitive Embedding by Nonlinear NCA Regression—0
Discriminative Clustering by Regularized Information Maximization—0
Nuclear norm penalization and optimal rates for noisy low rank matrix completion—0
Bregman Distance to L1 Regularized Logistic Regression—0
Supervised Topic ModelsCode0
Convex Relaxation of Mixture Regression with Efficient Algorithms—0
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness—0
Kernels and learning curves for Gaussian process regression on random graphs—0
Optimal Scoring for Unsupervised Learning—0
Distribution Matching for Transduction—0
Structured output regression for detection with partial truncation—0
Gaussian process regression with Student-t likelihood—0
Heterogeneous multitask learning with joint sparsity constraints—0
Ensemble Nystrom Method—0
Learning Non-Linear Combinations of Kernels—0
Lattice Regression—0
Nonparametric Greedy Algorithms for the Sparse Learning Problem—0
From PAC-Bayes Bounds to KL Regularization—0
Manifold Regularization for SIR with Rate Root-n Convergence—0
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity—0
Directed Regression—0
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction—0
Fast, smooth and adaptive regression in metric spaces—0
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes—0
Compressed Least-Squares Regression—0
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Robust Nonparametric Regression with Metric-Space Valued Output—0
Data-driven calibration of linear estimators with minimal penalties—0
Effectiveness and Limitations of Statistical Spam Filters—0
A path algorithm for the Fused Lasso Signal ApproximatorCode0
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields—0
Dlib-ml: A Machine Learning ToolkitCode0
Efficient Sampling for Gaussian Process Inference using Control Variables—0
Localized Sliced Inverse Regression—0
Non-parametric Regression Between Manifolds—0
Nonparametric regression and classification with joint sparsity constraints—0
Local Gaussian Process Regression for Real Time Online Model Learning—0
Phase transitions for high-dimensional joint support recovery—0
Sparse Convolved Gaussian Processes for Multi-output Regression—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