Pages that link to "Item:Q2876847"
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The following pages link to iPiano: inertial proximal algorithm for nonconvex optimization (Q2876847):
Displaying 50 items.
- Unifying Abstract Inexact Convergence Theorems and Block Coordinate Variable Metric iPiano (Q4624932) (← links)
- A Fokker-Planck Based Approach to Control Jump Processes (Q4626516) (← links)
- Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems (Q4634143) (← links)
- Blind image fusion for hyperspectral imaging with the directional total variation (Q4638170) (← links)
- On the Edge Recovery Property of Noncovex Nonsmooth Regularization in Image Restoration (Q4641614) (← links)
- Inertial Variable Metric Techniques for the Inexact Forward--Backward Algorithm (Q4685337) (← links)
- A New Optimization Approach to Sparse Reconstruction of Log-Conductivity in Acousto-Electric Tomography (Q4689777) (← links)
- (Q4995610) (← links)
- On a general smoothly truncated regularization for variational piecewise constant image restoration: construction and convergent algorithms (Q5000580) (← links)
- An accelerated majorization-minimization algorithm with convergence guarantee for non-Lipschitz wavelet synthesis model <sup>*</sup> (Q5019920) (← links)
- Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons (Q5025784) (← links)
- The lower bound of nonlocal gradient for non-convex and non-smooth image patches based regularization (Q5030169) (← links)
- An inertial proximal alternating direction method of multipliers for nonconvex optimization (Q5031320) (← links)
- (Q5032017) (← links)
- Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization (Q5037570) (← links)
- A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm (Q5043740) (← links)
- Convergence of Inexact Forward--Backward Algorithms Using the Forward--Backward Envelope (Q5131965) (← links)
- Composite Optimization by Nonconvex Majorization-Minimization (Q5230420) (← links)
- Modern regularization methods for inverse problems (Q5230515) (← links)
- Adaptive FISTA for Nonconvex Optimization (Q5235485) (← links)
- Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme (Q5236622) (← links)
- Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization (Q5236633) (← links)
- The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings (Q5250014) (← links)
- Penalty schemes with inertial effects for monotone inclusion problems (Q5277990) (← links)
- An introduction to continuous optimization for imaging (Q5740077) (← links)
- Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework (Q5860343) (← links)
- Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction (Q5860374) (← links)
- Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems (Q5863523) (← links)
- Self-Adaptive Inertial Projection and Contraction Algorithm for Monotone Variational Inequality (Q5865921) (← links)
- Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs (Q5868963) (← links)
- The Exact Modulus of the Generalized Concave Kurdyka-Łojasiewicz Property (Q5870355) (← links)
- On an iteratively reweighted linesearch based algorithm for nonconvex composite optimization (Q6042933) (← links)
- Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients (Q6071885) (← links)
- Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka–Łojasiewicz Property Without Global Lipschitz Assumptions (Q6071886) (← links)
- Inertial projected gradient method for large-scale topology optimization (Q6104281) (← links)
- A new Lagrangian-based first-order method for nonconvex constrained optimization (Q6106553) (← links)
- Heavy-ball-based hard thresholding algorithms for sparse signal recovery (Q6137779) (← links)
- An inertial alternating minimization with Bregman distance for a class of nonconvex and nonsmooth problems (Q6138306) (← links)
- Nested alternating minimization with FISTA for non-convex and non-smooth optimization problems (Q6145059) (← links)
- A class of modified accelerated proximal gradient methods for nonsmooth and nonconvex minimization problems (Q6145571) (← links)
- A unified surface geometric framework for feature-aware denoising, hole filling and context-aware completion (Q6155448) (← links)
- A refined inertial DC algorithm for DC programming (Q6159465) (← links)
- Convergence of Random Reshuffling under the Kurdyka–Łojasiewicz Inequality (Q6161313) (← links)
- A forward-backward algorithm with different inertial terms for structured non-convex minimization problems (Q6163956) (← links)
- An extrapolated proximal iteratively reweighted method for nonconvex composite optimization problems (Q6164017) (← links)
- A proximal trust-region method for nonsmooth optimization with inexact function and gradient evaluations (Q6165597) (← links)
- Calculus rules of the generalized concave Kurdyka-Łojasiewicz property (Q6167075) (← links)
- Smoothing fast proximal gradient algorithm for the relaxation of matrix rank regularization problem (Q6169244) (← links)
- On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance (Q6170448) (← links)
- Fast optimization via inertial dynamics with closed-loop damping (Q6172672) (← links)
