134 citations · 154 across the 13 of their papers we have counts for
5 papers · 1 filter
A consensus-based global optimization method with adaptive momentum estimation
Jingrun Chen, Shi Jin, Liyao Lyu
Objective functions in large-scale machine-learning and artificial intelligence applications often live in high dimensions with strong non-convexity and massive local minima. First…
Convergence and error estimates for time-discrete consensus-based optimization algorithms
Seug-Yeal Ha, Shi Jin, Doheon Kim
We present convergence and error estimates of the time-discrete consensus-based optimization(CBO) algorithms proposed in [arXiv:1909.09249] for general nonconvex functions. In auth…
Boundary Control of Vlasov--Fokker--Planck Equations
Michael Herty, Shi Jin, Yuhua Zhu
We introduce a novel Lyapunov function for stabilization of linear Vlasov--Fokker--Planck type equations with stiff source term. Contrary to existing results relying on transport p…
Convergence of a first-order consensus-based global optimization algorithm
Seung-Yeal Ha, Shi Jin, Doheon Kim
Global optimization of a non-convex objective function often appears in large-scale machine-learning and artificial intelligence applications. Recently, consensus-based optimizatio…
A consensus-based global optimization method for high dimensional machine learning problems
José A. Carrillo, Shi Jin, Lei Li +1
We improve recently introduced consensus-based optimization method, proposed in [R. Pinnau, C. Totzeck, O. Tse and S. Martin, Math. Models Methods Appl. Sci., 27(01):183--204, 2017…