From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit

10 December 2020

Papers citing "From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit"

5 / 5 papers shown

Title
Gradient is All You Need? Konstantin Riedl T. Klock Carina Geldhauser M. Fornasier 57 8 0 16 Jun 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 136 13 0 23 Mar 2023
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law Konstantin Riedl 58 16 0 22 Nov 2022
Ensemble-based gradient inference for particle methods in optimization and sampling C. Schillings C. Totzeck Philipp Wacker 65 10 0 23 Sep 2022
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning M. Fornasier Hui Huang L. Pareschi Philippe Sünnen 129 69 0 31 Jan 2020