Pages that link to "Item:Q150994"

The following pages link to A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems (Q150994):

Displaying 50 items.

• Application of a new accelerated algorithm to regression problems (Q780302) (← links)
• Generalized ADMM with optimal indefinite proximal term for linearly constrained convex optimization (Q781096) (← links)
• Fisher information regularization schemes for Wasserstein gradient flows (Q781954) (← links)
• Optimizing optimization: accurate detection of hidden interactions in active body systems from noisy data (Q783431) (← links)
• Accelerated gradient with optimal step size for second-order blind signal separation (Q784594) (← links)
• A new smoothing modified three-term conjugate gradient method for \(l_1\)-norm minimization problem (Q824554) (← links)
• An attention algorithm for solving large scale structured \(l_0\)-norm penalty estimation problems (Q825333) (← links)
• A scaled and adaptive FISTA algorithm for signal-dependent sparse image super-resolution problems (Q826178) (← links)
• Splines for image metamorphosis (Q826214) (← links)
• \(l_1\)-regularization for multi-period portfolio selection (Q827241) (← links)
• Iteratively weighted thresholding homotopy method for the sparse solution of underdetermined linear equations (Q829377) (← links)
• Continuous dynamics related to monotone inclusions and non-smooth optimization problems (Q829490) (← links)
• Robust variable selection with exponential squared loss for the spatial autoregressive model (Q829731) (← links)
• A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions (Q829737) (← links)
• Place cells and geometry lead to a flexible grid pattern (Q831606) (← links)
• Accelerated proximal algorithms with a correction term for monotone inclusions (Q832632) (← links)
• Accelerating gradient projection methods for \(\ell _1\)-constrained signal recovery by steplength selection rules (Q837553) (← links)
• On total variation minimization and surface evolution using parametric maximum flows (Q847514) (← links)
• Inexact accelerated augmented Lagrangian methods (Q887168) (← links)
• Computational implications of reducing data to sufficient statistics (Q887274) (← links)
• Convex relaxation algorithm for a structured simultaneous low-rank and sparse recovery problem (Q888314) (← links)
• Active learning for semi-supervised clustering based on locally linear propagation reconstruction (Q889394) (← links)
• An inertial forward-backward algorithm for monotone inclusions (Q890044) (← links)
• iPiasco: inertial proximal algorithm for strongly convex optimization (Q890114) (← links)
• Efficient nonconvex sparse group feature selection via continuous and discrete optimization (Q892230) (← links)
• A proximal alternating linearization method for minimizing the sum of two convex functions (Q892779) (← links)
• Adaptive projected gradient thresholding methods for constrained \(l_0\) problems (Q892792) (← links)
• Feature-aware regularization for sparse online learning (Q893629) (← links)
• Sparse identification of posynomial models (Q894327) (← links)
• Sampling in the analysis transform domain (Q900778) (← links)
• Metric selection in fast dual forward-backward splitting (Q901087) (← links)
• Sparse representation based Fisher discrimination dictionary learning for image classification (Q901802) (← links)
• The augmented Lagrangian method based on the APG strategy for an inverse damped gyroscopic eigenvalue problem (Q902100) (← links)
• Alternating split Bregman method for the bilaterally constrained image deblurring problem (Q902848) (← links)
• SLOPE-adaptive variable selection via convex optimization (Q902886) (← links)
• Descent gradient methods for nonsmooth minimization problems in ill-posed problems (Q908377) (← links)
• Nonparametric operator-regularized covariance function estimation for functional data (Q1615269) (← links)
• An inertial Mann algorithm for nonexpansive mappings (Q1615295) (← links)
• Multi-document summarization via group sparse learning (Q1615644) (← links)
• A regularizing multilevel approach for nonlinear inverse problems (Q1615866) (← links)
• Group subset selection for linear regression (Q1623472) (← links)
• Linearized alternating direction method of multipliers for sparse group and fused Lasso models (Q1623671) (← links)
• Variable selection in general multinomial logit models (Q1623760) (← links)
• Estimating large correlation matrices for international migration (Q1624816) (← links)
• MOEA/D with chain-based random local search for sparse optimization (Q1626237) (← links)
• Variational methods for normal integration (Q1636005) (← links)
• A convergent least-squares regularized blind deconvolution approach (Q1636832) (← links)
• A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis (Q1639712) (← links)
• Comparison of minimization methods for nonsmooth image segmentation (Q1642276) (← links)
• Accelerating \(\ell^1\)-\(\ell^2\) deblurring using wavelet expansions of operators (Q1643857) (← links)