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)
Interacting Particle Methods
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks
Arnold, N
Zhong, P
Ba, C
Steer, B
Mondragon, R
Cuadrado, F
Lambiotte, R
Clegg, R
Scientific Reports
volume 14
issue 1
(04 Nov 2024)