Pages that link to "Item:Q2482976"

The following pages link to Coordinate descent algorithms for lasso penalized regression (Q2482976):

Displaying 23 items.

• Cyclic Coordinate Dual Averaging with Extrapolation (Q6060151) (← links)
• Model-Based Clustering of High-Dimensional Longitudinal Data via Regularization (Q6079763) (← links)
• Sparsity promoting decentralized learning strategies for radio tomographic imaging using consensus based ADMM approach (Q6099873) (← links)
• A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty (Q6101007) (← links)
• Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization (Q6104399) (← links)
• An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled Lasso (Q6104410) (← links)
• Support Recovery and Parameter Identification of Multivariate ARMA Systems with Exogenous Inputs (Q6107866) (← links)
• Fast Construction of Optimal Composite Likelihoods (Q6144619) (← links)
• Robust supervised learning with coordinate gradient descent (Q6172182) (← links)
• A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems (Q6177008) (← links)
• Residual projection for quantile regression in vertically partitioned big data (Q6487753) (← links)
• Backfitting algorithms for total-variation and empirical-norm penalized additive modelling with high-dimensional data (Q6541469) (← links)
• Massive Parallelization of Massive Sample-Size Survival Analysis (Q6552555) (← links)
• Variable selection through adaptive elastic net for proportional odds model (Q6578491) (← links)
• Overview of robust variable selection methods for high-dimensional linear regression model (Q6585942) (← links)
• One-step sparse ridge estimation with folded concave penalty (Q6590301) (← links)
• A survey of numerical algorithms that can solve the Lasso problems (Q6602016) (← links)
• Detecting clusters in multivariate response regression (Q6602354) (← links)
• Least angle regression for model selection (Q6604388) (← links)
• Variable selection using \(L_q\) penalties (Q6604398) (← links)
• Integrative analysis of `-omics' data using penalty functions (Q6604445) (← links)
• ADMM for High-Dimensional Sparse Penalized Quantile Regression (Q6622436) (← links)
• A surrogate \(\ell_0\) sparse Cox's regression with applications to sparse high-dimensional massive sample size time-to-event data (Q6627484) (← links)