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Konstantin Riedl
Konstantin Riedl
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα maths.ox.ac.uk - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Consensus-based optimization methods converge globally
M Fornasier, T Klock, K Riedl
SIAM Journal on Optimization 34 (3), 2973-3004, 2024
72*2024
On the global convergence of particle swarm optimization methods
H Huang, J Qiu, K Riedl
Applied Mathematics & Optimization 88 (2), 30, 2023
462023
Convergence of anisotropic consensus-based optimization in mean-field law
M Fornasier, T Klock, K Riedl
International Conference on the Applications of Evolutionary Computation …, 2022
332022
Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law
K Riedl
European Journal of Applied Mathematics, 1-32, 2023
252023
Consensus-based optimization for saddle point problems
H Huang, J Qiu, K Riedl
SIAM Journal on Control and Optimization 62 (2), 1093-1121, 2024
212024
CBX: Python and Julia packages for consensus-based interacting particle methods
R Bailo, A Barbaro, SN Gomes, K Riedl, T Roith, C Totzeck, U Vaes
arXiv preprint arXiv:2403.14470, 2024
132024
Gradient is all you need?
K Riedl, T Klock, C Geldhauser, M Fornasier
arXiv preprint arXiv:2306.09778, 2023
122023
Consensus-Based Optimization with Truncated Noise
M Fornasier, P Richtárik, K Riedl, L Sun
European Journal of Applied Mathematics, 1-24, 2023
112023
How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
K Riedl, T Klock, C Geldhauser, M Fornasier
ICML 2024 Workshop on Differentiable Almost Everything: Differentiable …, 2024
32024
Mathematical Foundations of Interacting Multi-Particle Systems for Optimization
K Riedl
Technische Universität München, 2024
22024
CBO: Consensus-Based Bi-Level Optimization
NG Trillos, S Li, K Riedl, Y Zhu
arXiv preprint arXiv:2411.13394, 2024
12024
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
NG Trillos, AK Akash, S Li, K Riedl, Y Zhu
arXiv preprint arXiv:2412.02535, 2024
2024
Understanding Consensus-Based Optimization: Two Analytical Perspectives
K Riedl
Oberwolfach Reports 20 (4), 2990-2992, 2024
2024
Non-Convex Approaches to Compressed Sensing and Robust Recovery of Simultaneously Structured Signals from Inaccurate and Incomplete Information
K Riedl
Technical University of Munich, 2019
2019
On multilevel algorithms for the estimation of failure probabilities and rare event simulation
K Riedl
Technical University of Munich, 2018
2018
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