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regression

Papers

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Showing 9351–9400 of 9424 papers

TitleStatusHype
A Family of Penalty Functions for Structured Sparsity—0
Exact learning curves for Gaussian process regression on large random graphs—0
Graph-Valued Regression—0
Adaptive Multi-Task Lasso: with Application to eQTL Detection—0
Discriminative Clustering by Regularized Information Maximization—0
Fast global convergence rates of gradient methods for high-dimensional statistical recovery—0
t-logistic regression—0
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks—0
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression—0
Optimal learning rates for Kernel Conjugate Gradient regression—0
Multivariate Dyadic Regression Trees for Sparse Learning Problems—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
Decomposing Isotonic Regression for Efficiently Solving Large Problems—0
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation—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
Structured output regression for detection with partial truncation—0
Kernels and learning curves for Gaussian process regression on random graphs—0
Nonparametric Greedy Algorithms for the Sparse Learning Problem—0
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity—0
Robust Nonparametric Regression with Metric-Space Valued Output—0
Directed Regression—0
Ensemble Nystrom Method—0
From PAC-Bayes Bounds to KL Regularization—0
Convex Relaxation of Mixture Regression with Efficient Algorithms—0
Manifold Regularization for SIR with Rate Root-n Convergence—0
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes—0
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction—0
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness—0
Compressed Least-Squares Regression—0
Learning Non-Linear Combinations of Kernels—0
Fast, smooth and adaptive regression in metric spaces—0
Gaussian process regression with Student-t likelihood—0
Optimal Scoring for Unsupervised Learning—0
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Heterogeneous multitask learning with joint sparsity constraints—0
Lattice Regression—0
Data-driven calibration of linear estimators with minimal penalties—0
Distribution Matching for Transduction—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
Fitted Q-iteration by Advantage Weighted Regression—0
Robust Regression and Lasso—0
Phase transitions for high-dimensional joint support recovery—0
Non-parametric Regression Between Manifolds—0
Privacy-preserving logistic regression—0
Bayesian Kernel Shaping for Learning Control—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