Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law Fornasier, M Klock, T Riedl, K (15 Nov 2021) http://arxiv.org/abs/2111.08136v2
Consensus-Based Optimization Methods Converge Globally Fornasier, M Klock, T Riedl, K (28 Mar 2021) http://arxiv.org/abs/2103.15130v6
Gradient is All You Need? Riedl, K Klock, T Geldhauser, C Fornasier, M (16 Jun 2023) http://arxiv.org/abs/2306.09778v1
Consensus-based optimization for saddle point problems Huang, H Qiu, J Riedl, K SIAM Journal on Control and Optimization volume 62 issue 2 1093-1121 (25 Mar 2024)
On the Global Convergence of Particle Swarm Optimization Methods Huang, H Qiu, J Riedl, K Applied Mathematics & Optimization volume 88 issue 2 (31 May 2023)
Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law Riedl, K European Journal of Applied Mathematics volume 35 issue 4 483-514 (20 Oct 2023)
Consensus-based optimization methods converge globally Fornasier, M Klock, T Riedl, K SIAM Journal on Optimization volume 34 issue 3 2973-3004 (03 Sep 2024)
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law Fornasier, M Klock, T Riedl, K Applications of Evolutionary Computation volume 13224 738-754 (15 Apr 2022)
Consensus-based optimisation with truncated noise Fornasier, M Richtárik, P Riedl, K Sun, L European Journal of Applied Mathematics 1-24 (05 Apr 2024)
CBX: Python and Julia Packages for Consensus-Based Interacting Particle Methods Bailo, R Barbaro, A Gomes, S Riedl, K Roith, T Totzeck, C Vaes, U Journal of Open Source Software volume 9 issue 98 6611-6611 (21 Jun 2024)