Pages that link to "Item:Q4906144"

The following pages link to Safe Feature Elimination in Sparse Supervised Learning (Q4906144):

Displaying 50 items.

• Thresholding least-squares inference in high-dimensional regression models (Q309566) (← links)
• Nonsmoothness in machine learning: specific structure, proximal identification, and applications (Q829492) (← links)
• Sparse identification of posynomial models (Q894327) (← links)
• Natural coordinate descent algorithm for \(\ell_1\)-penalised regression in generalised linear models (Q1659358) (← links)
• Double fused Lasso regularized regression with both matrix and vector valued predictors (Q2044365) (← links)
• Regularization parameter selection for the low rank matrix recovery (Q2046538) (← links)
• A hybrid acceleration strategy for nonparallel support vector machine (Q2055553) (← links)
• Distance metric learning for graph structured data (Q2071320) (← links)
• A decomposition method for Lasso problems with zero-sum constraint (Q2106751) (← links)
• Screening for a reweighted penalized conditional gradient method (Q2165597) (← links)
• On the distribution, model selection properties and uniqueness of the Lasso estimator in low and high dimensions (Q2180053) (← links)
• Scaling up twin support vector regression with safe screening rule (Q2200535) (← links)
• A safe reinforced feature screening strategy for Lasso based on feasible solutions (Q2201661) (← links)
• An active-set proximal-Newton algorithm for \(\ell_1\) regularized optimization problems with box constraints (Q2219645) (← links)
• Solving a class of feature selection problems via fractional 0--1 programming (Q2241181) (← links)
• Safe feature elimination for non-negativity constrained convex optimization (Q2302836) (← links)
• A safe screening rule for accelerating weighted twin support vector machine (Q2318604) (← links)
• Concise comparative summaries (CCS) of large text corpora with a human experiment (Q2453687) (← links)
• Safe feature screening rules for the regularized Huber regression (Q2656712) (← links)
• Fast stepwise regression based on multidimensional indexes (Q2666779) (← links)
• Optimization in high dimensions via accelerated, parallel, and proximal coordinate descent (Q2832112) (← links)
• Accelerated, Parallel, and Proximal Coordinate Descent (Q3449571) (← links)
• (Q4633017) (← links)
• Gap Safe screening rules for sparsity enforcing penalties (Q4637055) (← links)
• Understanding large text corpora via sparse machine learning (Q4969899) (← links)
• Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability (Q4970223) (← links)
• Screening Rules and its Complexity for Active Set Identification (Q5026418) (← links)
• (Q5053252) (← links)
• A Scalable Hierarchical Lasso for Gene–Environment Interactions (Q5057242) (← links)
• A Pliable Lasso (Q5065986) (← links)
• Adaptive hybrid screening for efficient lasso optimization (Q5086097) (← links)
• Estimation of semiparametric regression model with right-censored high-dimensional data (Q5107372) (← links)
• (Q5149027) (← links)
• The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy (Q5210421) (← links)
• (Q5214210) (← links)
• (Q5214258) (← links)
• Safe Triplet Screening for Distance Metric Learning (Q5214409) (← links)
• Safe Rules for the Identification of Zeros in the Solutions of the SLOPE Problem (Q5885837) (← links)
• ``FISTA'' in Banach spaces with adaptive discretisations (Q6043131) (← links)
• A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration (Q6048760) (← links)
• (Q6073211) (← links)
• Smooth over-parameterized solvers for non-smooth structured optimization (Q6110460) (← links)
• Proximal gradient/semismooth Newton methods for projection onto a polyhedron via the duality-gap-active-set strategy (Q6176299) (← links)
• A safe double screening strategy for elastic net support vector machine (Q6178350) (← links)
• Sequential safe feature elimination rule for \(L_1\)-regularized regression with Kullback-Leibler divergence (Q6488733) (← links)
• Feature screening strategy for non-convex sparse logistic regression with log sum penalty (Q6494636) (← links)
• Cardinality-constrained structured data-fitting problems (Q6584338) (← links)
• Locally simultaneous inference (Q6608687) (← links)
• Structure estimation of binary graphical models on stratified data: application to the description of injury tables for victims of road accidents (Q6627153) (← links)
• Fast Lasso-type safe screening for Fine-Gray competing risks model with ultrahigh dimensional covariates (Q6629344) (← links)