2 papers
cs.LG2026
Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training
Giacomo Borghi, Hyesung Im, Lorenzo Pareschi
Population-based learning paradigms, including evolutionary strategies, Population-Based Training (PBT), and recent model-merging methods, combine fast within-model optimisation wi…
math.OC2025
Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis
Giacomo Borghi, Hyesung Im, Lorenzo Pareschi
Metaheuristic algorithms are powerful tools for global optimization, particularly for non-convex and non-differentiable problems where exact methods are often impractical. Particle…