Pages that link to "Item:Q2192647"
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The following pages link to Large-scale regression with non-convex loss and penalty (Q2192647):
Displaying 16 items.
- Robust and sparse bridge regression (Q440153) (← links)
- On the choice of regularization matrix for an \(\ell_2\)-\(\ell_q\) minimization method for image restoration (Q1995949) (← links)
- Fast alternating direction multipliers method by generalized Krylov subspaces (Q2063215) (← links)
- A comparison of parameter choice rules for \(\ell^p\)-\(\ell^q\) minimization (Q2084586) (← links)
- Krylov subspace split Bregman methods (Q2106230) (← links)
- Sparse regression for large data sets with outliers (Q2242288) (← links)
- Computational and statistical analyses for robust non-convex sparse regularized regression problem (Q2317291) (← links)
- Penalized Bregman divergence for large-dimensional regression and classification (Q2786368) (← links)
- Outlier Detection Using Nonconvex Penalized Regression (Q3095181) (← links)
- A variational non-linear constrained model for the inversion of FDEM data* (Q5019919) (← links)
- Limited memory restarted \(\ell^p\)-\(\ell^q\) minimization methods using generalized Krylov subspaces (Q6038831) (← links)
- Variable selection in saturated and supersaturated designs via lp-lq minimization (Q6082996) (← links)
- A reduced half thresholding algorithm (Q6164988) (← links)
- Fractional graph Laplacian for image reconstruction (Q6546941) (← links)
- Mixed Gaussian-impulse noise removal using non-convex high-order TV penalty (Q6549540) (← links)
- Software for limited memory restarted \(\ell^p\)-\(\ell^q\) minimization methods using generalized Krylov subspaces (Q6572625) (← links)
