How consensus-based optimization can be interpreted as a stochastic relaxation of gradient descent
Riedl, K
Klock, T
Geldhauser, C
Fornasier, M
(27 Jun 2024)
Convergence of anisotropic consensus-based optimization in mean-field law
Fornasier, M
Riedl, K
Klock, T
Proceedings of the 25th International Conference on the Applications of Evolutionary Computation (EvoApplications 2022)
738-754
(15 Apr 2022)
doi:10.1007/978-3-031-02462-7_46
Gradient is All You Need? How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
Riedl, K
Klock, T
Geldhauser, C
Fornasier, M
(16 Jun 2023)
https://arxiv.org/abs/2306.09778v2
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)
doi:10.1137/22m1543367
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)
doi:10.1007/s00245-023-09983-3
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)
doi:10.1017/s0956792523000293
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)
doi:10.1137/22m1527805
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)
doi:10.1007/978-3-031-02462-7_46
Consensus-based optimisation with truncated noise
Fornasier, M
Richtárik, P
Riedl, K
Sun, L
European Journal of Applied Mathematics
1-24
(05 Apr 2024)
doi:10.1017/s095679252400007x
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)
doi:10.21105/joss.06611
Interacting Particle Methods