Pages that link to "Item:Q2019902"

The following pages link to Convergence of stochastic proximal gradient algorithm (Q2019902):

Displaying 41 items.

• Stochastic forward-backward splitting for monotone inclusions (Q289110) (← links)
• Dynamical behavior of a stochastic forward-backward algorithm using random monotone operators (Q727220) (← links)
• On variance reduction for stochastic smooth convex optimization with multiplicative noise (Q1739038) (← links)
• A unified convergence analysis of stochastic Bregman proximal gradient and extragradient methods (Q2031928) (← links)
• General convergence analysis of stochastic first-order methods for composite optimization (Q2032020) (← links)
• Stochastic proximal splitting algorithm for composite minimization (Q2047212) (← 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)
• SABRINA: a stochastic subspace majorization-minimization algorithm (Q2095568) (← links)
• Binary quantized network training with sharpness-aware minimization (Q2111176) (← links)
• Sub-linear convergence of a stochastic proximal iteration method in Hilbert space (Q2162529) (← links)
• A linearly convergent stochastic recursive gradient method for convex optimization (Q2228399) (← links)
• Stochastic proximal-gradient algorithms for penalized mixed models (Q2329762) (← links)
• Convergence rates of accelerated proximal gradient algorithms under independent noise (Q2420162) (← links)
• Stochastic proximal subgradient descent oscillates in the vicinity of its accumulation set (Q2679007) (← links)
• Ergodic convergence of a stochastic proximal point algorithm (Q2828340) (← links)
• Convergence properties of stochastic optimization procedures (Q3685039) (← links)
• (Q4998961) (← links)
• Proximal Gradient Methods for Machine Learning and Imaging (Q5028165) (← links)
• (Q5038021) (← links)
• Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes (Q5038180) (← links)
• Stochastic block projection algorithms with extrapolation for convex feasibility problems (Q5058397) (← links)
• The Stochastic Auxiliary Problem Principle in Banach Spaces: Measurability and Convergence (Q5097016) (← links)
• Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis (Q5143323) (← links)
• New nonasymptotic convergence rates of stochastic proximal point algorithm for stochastic convex optimization (Q5162590) (← links)
• New Convergence Aspects of Stochastic Gradient Algorithms (Q5214284) (← links)
• Analysis of Online Composite Mirror Descent Algorithm (Q5380674) (← links)
• A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization (Q5860367) (← links)
• Scalable estimation strategies based on stochastic approximations: classical results and new insights (Q5963780) (← links)
• Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN) (Q6042929) (← links)
• A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems (Q6051310) (← links)
• Privacy-preserving federated learning on lattice quantization (Q6052296) (← links)
• Universal regular conditional distributions via probabilistic transformers (Q6101232) (← links)
• A new regularized stochastic approximation framework for stochastic inverse problems (Q6158281) (← links)
• Nonexpansive Markov operators and random function iterations for stochastic fixed point problems (Q6178237) (← links)
• Sharper Bounds for Proximal Gradient Algorithms with Errors (Q6188503) (← links)
• Sparse online regression algorithm with insensitive loss functions (Q6536701) (← links)
• Mini-batch stochastic subgradient for functional constrained optimization (Q6565290) (← links)
• Convergence analysis of stochastic higher-order majorization–minimization algorithms (Q6586916) (← links)
• Almost sure convergence rates of stochastic proximal gradient descent algorithm (Q6606307) (← links)
• Federated primal dual fixed point algorithm (Q6655078) (← links)