Author

Dohyeon Kim

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Preprint Sep 2026

From Consensus-Based Optimization to Particle Swarm Optimization: Convergence Guarantees under Drift-Diffusion Coupling

This work analyzes how the PSO parameter coupling affects existing convergence guarantees for CBO and its variant with memory effect and shows that the coupling still leaves a non-empty set of admissible parameters for these convergence guarantees to hold, but the admissible parameter ranges shrink in the limits used t...

Franca Hoffmann, Dohyeon Kim, Ritvik Teegavarapu · 0 citations

Preprint Jul 2026

Long-time Stability and Convergence of Particle Swarm Optimization

This paper studies a regularized PSO model without memory, with non-degenerate noise by adding a noise floor to the original model, providing new quantitative estimates for the time-discrete algorithm.

Giacomo Borghi, Hui Huang, Dohyeon Kim · 0 citations

#machine learning Preprint Aug 2026

Quantitative Target Convergence and Uniform-in-Time Propagation of Chaos for Langevin-Regularized SVGD

We establish quantitative convergence to the target and uniform-in-time propagation of chaos for Langevin-regularized Stein variational gradient descent. The Stein interaction need not be small relative to the confining Langevin drift and does not generally yield a contractive particle coupling. At the mean-field level...

Sayan Banerjee, Dohyeon Kim · 1 citation · ⚡1