Dr Konstantin Riedl

Journal Publications:

1. "Consensus-based optimization methods converge globally" (with M. Fornasier and T. Klock). SIAM Journal on Optimization, 2024.
2. "Applied Mathematics & Optimization" (with H. Huang and J. Qiu). Applied Mathematics & Optimization, 2023.
3. "Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law". European Journal of Applied Mathematics, 2024.
4. "Consensus-based optimization for saddle point problems" (with H. Huang and J. Qiu). SIAM Journal on Control and Optimization, 2023.
5. "Consensus-Based Optimization with Truncated Noise". (with M. Fornasier, P. Richtárik, and L. Sun) European Journal of Applied Mathematics, 2024.

Conference Publications:

1. "Convergence of anisotropic consensus-based optimization in mean-field law" (with M. Fornasier and T. Klock). International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2022.
2. "How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent" (with M. Fornasier, T. Klock, and C. Geldhauser). ICML Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators, 2024.

Code:

1. "CBX: Python and Julia packages for consensus-based interacting particle methods". (with R. Bailo, A. Barbaro, S. N Gomes, T. Roith, C. Totzeck, U. Vaes) Journal of Open Source Software, 2024.

Theses:

1. "Mathematical Foundations of Interacting Multi-Particle Systems for Optimization". Dissertation, 2024.

For a complete and up-to-date list of my publications, please see here.