Swarming for Faster Convergence in Stochastic Optimization

DOI10.1137/17M1111085zbMath1401.90138arXiv1806.04207OpenAlexW2964263318MaRDI QIDQ4582016

Shi Pu, Alfredo Daniel Garcia

Publication date: 22 August 2018

Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.04207

zbMATH Keywords

stochastic optimizationdistributed optimizationswarming-based framework

Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Convex programming (90C25) Stochastic programming (90C15)

Related Items (3)

Erratum: Swarming for Faster Convergence in Stochastic Optimization ⋮ Distributed stochastic gradient tracking methods ⋮ Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction

Uses Software

• Boids

Cites Work

• Unnamed Item
• Noise Reduction by Swarming in Social Foraging
• Swarm Stability and Optimization
• A Model Reference Adaptive Search Method for Global Optimization
• Robust Stochastic Approximation Approach to Stochastic Programming
• Adaptive Penalty-Based Distributed Stochastic Convex Optimization
• A class of attractions/repulsion functions for stable swarm aggregations
• A Flocking-Based Approach for Distributed Stochastic Optimization
• Distributed Subgradient Methods for Convex Optimization Over Random Networks
• Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
• Stochastic Estimation of the Maximum of a Regression Function
• A Stochastic Approximation Method
• Design and analysis of simulation experiments

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