Pages that link to "Item:Q5965310"
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The following pages link to A general theory of concave regularization for high-dimensional sparse estimation problems (Q5965310):
Displaying 13 items.
- High-dimensional composite quantile regression: optimal statistical guarantees and fast algorithms (Q6184871) (← links)
- Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates (Q6190704) (← links)
- Preconditioning for classical relationships: a note relating ridge regression and OLS \(p\)-values to preconditioned \textit{sparse} penalized regression (Q6538497) (← links)
- MuSP: a multistep screening procedure for sparse recovery (Q6541761) (← links)
- High-order block RIP for nonconvex block-sparse compressed sensing (Q6583081) (← links)
- Cardinality minimization, constraints, and regularization: a survey (Q6585278) (← links)
- Variable selection using \(L_q\) penalties (Q6604398) (← links)
- Sparse recovery based on the generalized error function (Q6616997) (← links)
- Variable selection in linear regression models: choosing the best subset is not always the best choice (Q6625369) (← links)
- Inference for high-dimensional linear expectile regression with de-biasing method (Q6626721) (← links)
- Environment invariant linear least squares (Q6656619) (← links)
- Level constrained first order methods for function constrained optimization (Q6665379) (← links)
- Fully polynomial-time randomized approximation schemes for global optimization of high-dimensional minimax concave penalized generalized linear models (Q6668158) (← links)
