Pages that link to "Item:Q3631444"

The following pages link to The Group Lasso for Logistic Regression (Q3631444):

Displaying 50 items.

• Least angle and \(\ell _{1}\) penalized regression: a review (Q975564) (← links)
• Enhanced ridge regressions (Q984175) (← links)
• Lasso-type recovery of sparse representations for high-dimensional data (Q1002157) (← links)
• Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization (Q1016411) (← links)
• High-dimensional additive modeling (Q1043712) (← links)
• Sparsistency and rates of convergence in large covariance matrix estimation (Q1043730) (← links)
• Duality of nonconvex optimization with positively homogeneous functions (Q1616938) (← links)
• Penalized likelihood and Bayesian function selection in regression models (Q1621251) (← links)
• Sparse group Lasso and high dimensional multinomial classification (Q1621358) (← links)
• Group subset selection for linear regression (Q1623472) (← links)
• Nonparametric additive model with grouped Lasso and maximizing area under the ROC curve (Q1623603) (← links)
• Variable and boundary selection for functional data via multiclass logistic regression modeling (Q1623638) (← links)
• Variable selection in general multinomial logit models (Q1623760) (← links)
• Sparse approximate solution of fitting surface to scattered points by MLASSO model (Q1656898) (← links)
• Structured variable selection via prior-induced hierarchical penalty functions (Q1659467) (← links)
• Wavelet-based scalar-on-function finite mixture regression models (Q1660192) (← links)
• Robust groupwise least angle regression (Q1660232) (← links)
• Bayesian quantile regression using the skew exponential power distribution (Q1663095) (← links)
• Studies of the adaptive network-constrained linear regression and its application (Q1663145) (← links)
• Grouped variable importance with random forests and application to multiple functional data analysis (Q1663198) (← links)
• On group-wise \(\ell_p\) regularization: theory and efficient algorithms (Q1669617) (← links)
• A unified approach to error bounds for structured convex optimization problems (Q1675267) (← links)
• An adaptive partial linearization method for optimization problems on product sets (Q1686667) (← links)
• Sparse and low-rank matrix regularization for learning time-varying Markov networks (Q1689602) (← links)
• LARS-type algorithm for group Lasso (Q1703818) (← links)
• The Bayesian adaptive Lasso regression (Q1711960) (← links)
• Coordinate descent based hierarchical interactive Lasso penalized logistic regression and its application to classification problems (Q1718372) (← links)
• Robust \(L_p\)-norm least squares support vector regression with feature selection (Q1735423) (← links)
• Logistic regression: from art to science (Q1750250) (← links)
• Stable graphical model estimation with random forests for discrete, continuous, and mixed variables (Q1800084) (← links)
• Logistic regression with weight grouping priors (Q1800101) (← links)
• Identification of breast cancer prognosis markers via integrative analysis (Q1927047) (← links)
• Fixed and random effects selection in nonparametric additive mixed models (Q1950841) (← links)
• Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis (Q1951541) (← links)
• On the asymptotic properties of the group lasso estimator for linear models (Q1951765) (← links)
• Forest Garrote (Q1952025) (← links)
• Maximum likelihood estimation in the logistic regression model with a cure fraction (Q1952195) (← links)
• The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso) (Q1952206) (← links)
• The smooth-Lasso and other \(\ell _{1}+\ell _{2}\)-penalized methods (Q1952223) (← links)
• Compressed sensing of color images (Q1957911) (← links)
• Inexact variable metric stochastic block-coordinate descent for regularized optimization (Q1985280) (← links)
• Jackknife model averaging prediction methods for complex phenotypes with gene expression levels by integrating external pathway information (Q2003642) (← links)
• Adaptive group Lasso for high-dimensional generalized linear models (Q2010806) (← links)
• Globalized inexact proximal Newton-type methods for nonconvex composite functions (Q2028488) (← links)
• Double fused Lasso regularized regression with both matrix and vector valued predictors (Q2044365) (← links)
• An outer-inner linearization method for non-convex and nondifferentiable composite regularization problems (Q2046332) (← links)
• Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors (Q2058906) (← links)
• Quantile regression feature selection and estimation with grouped variables using Huber approximation (Q2080351) (← links)
• Group penalized quantile regression (Q2082458) (← links)
• Inertial proximal incremental aggregated gradient method with linear convergence guarantees (Q2084299) (← links)