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Variable Selection

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TitleStatusHype
Learning Local Search Heuristics for Boolean SatisfiabilityCode0
Stable Learning via Sample Reweighting—0
A Discrete CVAE for Response Generation on Short-Text Conversation—0
Bayesian sparse convex clustering via global-local shrinkage priors—0
LMLFM: Longitudinal Multi-Level Factorization MachineCode0
Power analysis of knockoff filters for correlated designs—0
Variable Selection with Copula EntropyCode0
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection—0
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold OptimizationCode0
Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data—0
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease—0
Knockoff-Inspired Feature Selection via Generative Models—0
The column measure and Gradient-Free Gradient Boosting—0
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning—0
Variable selection with false discovery rate control in deep neural networksCode0
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing—0
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial predictionCode0
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting—0
Least Angle Regression in Tangent Space and LASSO for Generalized Linear Models—0
Iteratively Reweighted _1-Penalized Robust RegressionCode0
Efficient Regularized Piecewise-Linear Regression Trees—0
Multiple Testing and Variable Selection along the path of the Least Angle RegressionCode0
Replicated Vector Approximate Message Passing For Resampling Problem—0
Comparison of Machine Learning Models in Food Authentication Studies—0
Efficient hinging hyperplanes neural network and its application in nonlinear system identification—0
A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables—0
INVASE: Instance-wise Variable Selection using Neural NetworksCode0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Sparse Learning for Variable Selection with Structures and Nonlinearities—0
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification—0
An Integrated Panel Data Approach to Modelling Economic Growth—0
An Efficient Augmented Lagrangian Based Method for Constrained Lasso—0
Machine learning in policy evaluation: new tools for causal inferenceCode0
Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection ProcedureCode0
An information criterion for auxiliary variable selection in incomplete data analysis—0
Learning Hierarchical Interactions at Scale: A Convex Optimization ApproachCode0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Combinatorial Bayesian Optimization using the Graph Cartesian ProductCode0
Active learning for binary classification with variable selection—0
Supervised Learning for Multi-Block Incomplete Data—0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation—0
Deep KnockoffsCode0
Global sensitivity analysis for optimization with variable selection—0
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models—0
On LASSO for Predictive Regression—0
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections—0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
A convex formulation for high-dimensional sparse sliced inverse regression—0
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines—0
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