Pages that link to "Item:Q2897282"

The following pages link to Proximal Splitting Methods in Signal Processing (Q2897282):

Displaying 50 items.

• Fast selection of nonlinear mixed effect models using penalized likelihood (Q2072413) (← links)
• Convergence analysis for variational inequalities and fixed point problems in reflexive Banach spaces (Q2072803) (← links)
• A modified proximal point algorithm involving nearly asymptotically quasi-nonexpansive mappings (Q2072847) (← links)
• Random activations in primal-dual splittings for monotone inclusions with a priori information (Q2073045) (← links)
• Efficient proximal mapping computation for low-rank inducing norms (Q2073049) (← links)
• Some modified fast iterative shrinkage thresholding algorithms with a new adaptive non-monotone stepsize strategy for nonsmooth and convex minimization problems (Q2082554) (← links)
• Proximal nested sampling for high-dimensional Bayesian model selection (Q2084321) (← links)
• Convergence analysis of the stochastic reflected forward-backward splitting algorithm (Q2091216) (← links)
• High-performance statistical computing in the computing environments of the 2020s (Q2092893) (← links)
• A review of the use of optimal transport distances for high resolution seismic imaging based on the full waveform (Q2094840) (← links)
• An adaptive alternating direction method of multipliers (Q2095572) (← links)
• Harmonic analysis on directed graphs and applications: from Fourier analysis to wavelets (Q2105123) (← links)
• A unified Douglas-Rachford algorithm for generalized DC programming (Q2114583) (← links)
• Projective splitting with forward steps (Q2118090) (← links)
• Peridynamics enabled learning partial differential equations (Q2123993) (← links)
• Speckle reduction in matrix-log domain for synthetic aperture radar imaging (Q2127298) (← links)
• Applications of optimal transportation in the natural sciences. Abstracts from the workshop held February 21--27, 2021 (online meeting) (Q2131203) (← links)
• An adaptive splitting algorithm for the sum of two generalized monotone operators and one cocoercive operator (Q2138448) (← links)
• A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization (Q2149551) (← links)
• An inertial self-adaptive algorithm for the generalized split common null point problem in Hilbert spaces (Q2154668) (← links)
• On the resolution of the variational inequalities of the first and the second kind as equations obtained by explicit Moreau-Yosida regularizations (Q2156340) (← links)
• Convergence analysis of the shrinking approximants for fixed point problem and generalized split common null point problem (Q2157755) (← links)
• Proximal gradient algorithms under local Lipschitz gradient continuity. A convergence and robustness analysis of PANOC (Q2159445) (← links)
• Novel forward-backward algorithms for optimization and applications to compressive sensing and image inpainting (Q2167003) (← links)
• A parallel hybrid accelerated extragradient algorithm for pseudomonotone equilibrium, fixed point, and split null point problems (Q2167117) (← links)
• A parallel Tseng's splitting method for solving common variational inclusion applied to signal recovery problems (Q2167271) (← links)
• Inexact first-order primal-dual algorithms (Q2181598) (← links)
• An extragradient algorithm for solving equilibrium problem and zero point problem in Hadamard spaces (Q2189992) (← links)
• Alternating forward-backward splitting for linearly constrained optimization problems (Q2191282) (← links)
• The multiproximal linearization method for convex composite problems (Q2191762) (← links)
• Uniqueness of DRS as the 2 operator resolvent-splitting and impossibility of 3 operator resolvent-splitting (Q2191769) (← links)
• Contrast invariant SNR and isotonic regressions (Q2193820) (← links)
• Group sparse recovery in impulsive noise via alternating direction method of multipliers (Q2197950) (← links)
• Non-convex total variation regularization for convex denoising of signals (Q2203361) (← links)
• Tensor factorization with total variation and Tikhonov regularization for low-rank tensor completion in imaging data (Q2203366) (← links)
• A proximal interior point algorithm with applications to image processing (Q2203368) (← links)
• Correcting the side effects of ADC filtering in MR image reconstruction (Q2203375) (← links)
• Estimation of Monge matrices (Q2203631) (← links)
• Recovery guarantees for polynomial coefficients from weakly dependent data with outliers (Q2209293) (← links)
• Choice of the parameters in a primal-dual algorithm for Bregman iterated variational regularization (Q2220748) (← links)
• An adaptive primal-dual framework for nonsmooth convex minimization (Q2220901) (← links)
• Variable metric techniques for forward-backward methods in imaging (Q2222135) (← links)
• Convolutional proximal neural networks and plug-and-play algorithms (Q2238870) (← links)
• Robust regression with compositional covariates (Q2242144) (← links)
• Newton-like dynamics and forward-backward methods for structured monotone inclusions in Hilbert spaces (Q2247889) (← links)
• A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation (Q2251191) (← links)
• Homogeneous penalizers and constraints in convex image restoration (Q2251195) (← links)
• An evaluation of the sparsity degree for sparse recovery with deterministic measurement matrices (Q2251220) (← links)
• Fully smoothed \(\ell_1\)-\(TV\) models: bounds for the minimizers and parameter choice (Q2251224) (← links)
• Learning with tensors: a framework based on convex optimization and spectral regularization (Q2251466) (← links)