A stochastic gradient flow on particle swarms driven by a softmin energy approximation converges to global minima for strongly convex functions and exhibits faster hitting times between wells than overdamped Langevin dynamics.
Multimodal learning with deep Boltzmann machines.Advances in neural information processing systems, 25, 2012
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Global Optimization via Softmin Energy Minimization
A stochastic gradient flow on particle swarms driven by a softmin energy approximation converges to global minima for strongly convex functions and exhibits faster hitting times between wells than overdamped Langevin dynamics.