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Showing 9101–9150 of 9424 papers

TitleStatusHype
Performance Analysis Of Regularized Linear Regression Models For Oxazolines And Oxazoles Derivitive Descriptor Dataset—0
bartMachine: Machine Learning with Bayesian Additive Regression Trees—0
Modeling Suspicious Email Detection using Enhanced Feature Selection—0
Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements—0
Families of Parsimonious Finite Mixtures of Regression Models—0
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model—0
Lexical and Hierarchical Topic Regression—0
Regression-tree Tuning in a Streaming Setting—0
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform—0
Sketching Structured Matrices for Faster Nonlinear Regression—0
Approximate Gaussian process inference for the drift function in stochastic differential equations—0
Deep Neural Networks for Object Detection—0
New Subsampling Algorithms for Fast Least Squares Regression—0
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression—0
Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms—0
Information-theoretic lower bounds for distributed statistical estimation with communication constraints—0
Reconciling "priors" & "priors" without prejudice?—0
Parametric Task Learning—0
Dirty Statistical Models—0
Adaptivity to Local Smoothness and Dimension in Kernel Regression—0
PAC-Bayes-Empirical-Bernstein Inequality—0
A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression—0
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees—0
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization—0
A new adjusted maximum likelihood method for the Fay–Herriot small area model—0
A Component Lasso—0
Discriminative Density-ratio Estimation—0
Signal Recovery from Pooling Representations—0
When Does More Regularization Imply Fewer Degrees of Freedom? Sufficient Conditions and Counter Examples from Lasso and Ridge Regression—0
Learning Mixtures of Linear Classifiers—0
Fast Distribution To Real Regression—0
Multivariate Generalized Gaussian Process Models—0
Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression—0
Regularization of _1 minimization for dealing with outliers and noise in Statistics and Signal Recovery—0
Active Learning of Linear Embeddings for Gaussian Processes—0
Efficient Optimization for Sparse Gaussian Process Regression—0
Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions—0
Variational Bayesian inference for linear and logistic regressionCode0
A novel sparsity and clustering regularization—0
The Gaussian Radon Transform and Machine Learning—0
Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects—0
Alternating Minimization for Mixed Linear Regression—0
Feature Selection with Annealing for Computer Vision and Big Data LearningCode0
M-Power Regularized Least Squares Regression—0
CAM: Causal additive models, high-dimensional order search and penalized regression—0
Narrowing the Gap: Random Forests In Theory and In Practice—0
Multivariate regression and fit function uncertaintyCode0
Modeling Scientific Impact with Topical Influence Regression—0
MPBART - Multinomial Probit Bayesian Additive Regression Trees—0
Linear Regression from Strategic Data SourcesCode0
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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