46 citations · 110 across the 12 of their papers we have counts for
4 papers · 1 filter
Mean-field particle swarm optimization
Sara Grassi, Hui Huang, Lorenzo Pareschi +1
In this work we survey some recent results on the global minimization of a non-convex and possibly non-smooth high dimensional objective function by means of particle based gradien…
A Measure Theoretical Approach to the Mean-field Maximum Principle for Training NeurODEs
Benoît Bonnet, Cristina Cipriani, Massimo Fornasier +1
In this paper we consider a measure-theoretical formulation of the training of NeurODEs in the form of a mean-field optimal control with -regularization of the control. We der…
On the mean-field limit for the consensus-based optimization
Hui Huang, Jinniao Qiu
This paper is concerned with the large particle limit for the consensus-based optimization (CBO), which was postulated in the pioneering works [6,28]. In order to solve this open p…
Anisotropic Diffusion in Consensus-based Optimization on the Sphere
Massimo Fornasier, Hui Huang, Lorenzo Pareschi +1
In this paper we are concerned with the global minimization of a possibly non-smooth and non-convex objective function constrained on the unit hypersphere by means of a multi-agent…