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Variable Selection

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Showing 376–400 of 566 papers

TitleStatusHype
Mathematics of Digital Twins and Transfer Learning for PDE Models—0
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA—0
Mean field variational Bayesian inference for support vector machine classification—0
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting—0
MEBoost: Variable Selection in the Presence of Measurement Error—0
Median Selection Subset Aggregation for Parallel Inference—0
Missing Value Knockoffs—0
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org—0
Mixture model for designs in high dimensional regression and the LASSO—0
MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection—0
MM for Penalized Estimation—0
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates—0
Model-independent variable selection via the rule-based variable priority—0
Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation—0
Selecting Diverse Models for Scientific Insight—0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery—0
Multivariate Bernoulli distribution—0
Multivariate Dyadic Regression Trees for Sparse Learning Problems—0
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications—0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors—0
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease—0
Neural lasso: a unifying approach of lasso and neural networks—0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Nonlinear Permuted Granger Causality—0
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