The following pages link to Non-convex sparse regularisation (Q847742):
Displaying 25 items.
- Well-posedness classes for sparse regularization (Q389528) (← links)
- Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization (Q391843) (← links)
- The residual method for regularizing ill-posed problems (Q425458) (← links)
- Sparse and nonnegative sparse D-MORPH regression (Q498497) (← links)
- Injectivity and \(\text{weak}^\star\)-to-weak continuity suffice for convergence rates in \(\ell^{1}\)-regularization (Q682035) (← links)
- Regularization properties of Tikhonov regularization with sparsity constraints (Q836752) (← links)
- Sparse signal inversion with impulsive noise by dual spectral projected gradient method (Q1992541) (← links)
- Learning nonlocal regularization operators (Q2119430) (← links)
- Convergence rates of a dual gradient method for constrained linear ill-posed problems (Q2159243) (← links)
- Nonconvex regularization for sparse neural networks (Q2168678) (← links)
- Well-posedness and convergence rates for sparse regularization with sublinear \(l^q\) penalty term (Q2268306) (← links)
- Tikhonov regularization with \({\ell^{0}}\)-term complementing a convex penalty: \({\ell^{1}}\)-convergence under sparsity constraints (Q2316708) (← links)
- Minimization of non-smooth, non-convex functionals by iterative thresholding (Q2346390) (← links)
- Improved RIP conditions for compressed sensing with coherent tight frames (Q2403862) (← links)
- Regularization properties of the sequential discrepancy principle for Tikhonov regularization in Banach spaces (Q2875549) (← links)
- Inverse problems with nonnegative and sparse solutions: algorithms and application to the phase retrieval problem (Q4569355) (← links)
- A Fast Gradient Method for Nonnegative Sparse Regression With Self-Dictionary (Q4616947) (← links)
- Sparse Signal Approximation via Nonseparable Regularization (Q4620785) (← links)
- Sparse Regularization via Convex Analysis (Q4621829) (← links)
- Isotropic non-Lipschitz regularization for sparse representations of random fields on the sphere (Q5018371) (← links)
- Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality (Q5037159) (← links)
- Nonconvex flexible sparsity regularization: theory and monotone numerical schemes (Q5077167) (← links)
- Modulus-based iterative methods for constrained <b> <i>ℓ</i> </b> <sub> <i>p</i> </sub>–<b> <i>ℓ</i> </b> <sub> <i>q</i> </sub> minimization (Q5117383) (← links)
- $ \newcommand{\e}{{\rm e}} {\alpha\ell_{1}-\beta\ell_{2}}$ regularization for sparse recovery (Q5210419) (← links)
- An introduction to continuous optimization for imaging (Q5740077) (← links)
