variable selection

INVASE: Instance-wise Variable Selection using Neural Networks ICLR 2019 kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection ICML 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019 Power analysis of knockoff filters for correlated designs NeurIPS 2019 Scalable Interpretable Multi-Response Regression via SEED JMLR 2019 Semi-Analytic Resampling in Lasso JMLR 2019 Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019 A Cluster Elastic Net for Multivariate Regression JMLR 2018 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables AISTATS 2018 Nonoverlap-Promoting Variable Selection ICML 2018 Provable Variable Selection for Streaming Features ICML 2018 Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach ICML 2018 A Screening Rule for l1-Regularized Ising Model Estimation NeurIPS 2017 Group Sparse Additive Machine NeurIPS 2017 Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L_1-norms AISTATS 2017 Improving Gibbs Sampler Scan Quality with DoGS ICML 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction NeurIPS 2017 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 DECOrrelated feature space partitioning for distributed sparse regression NeurIPS 2016 Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016 Feature selection in functional data classification with recursive maxima hunting NeurIPS 2016 Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016 Selective inference for group-sparse linear models NeurIPS 2016