Pages that link to "Item:Q4571203"
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The following pages link to Variable Selection in Sparse Regression with Quadratic Measurements (Q4571203):
Displaying 6 items.
- A unified approach to model selection and sparse recovery using regularized least squares (Q117370) (← links)
- Double fused Lasso regularized regression with both matrix and vector valued predictors (Q2044365) (← links)
- High-dimensional variable selection with sparse random projections: measurement sparsity and statistical efficiency (Q2896148) (← links)
- An Inexact Projected Gradient Method for Sparsity-Constrained Quadratic Measurements Regression (Q5384750) (← links)
- An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications (Q6098964) (← links)
- Robust amplitude method with \(L_{1/2}\)-regularization for compressive phase retrieval (Q6175366) (← links)