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Acceleration via Symplectic Discretization of High-Resolution Differential Equations

NeurIPS 2019 · Optimization › Nonconvex and smooth optimization · approach: Acceleration and Nesterov dynamics · 53 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Discretize the high-resolution NAG-SC ODE with symplectic Euler rather than explicit Euler (ablation)NAG-SC ODE · Strongly convex smooth functionsobjective gap convergence rate: 1 + \frac{1}{9} \sqrt{ \frac{\mu}{L} } -> 1 - \frac{\mu}{80L}Helped
Discretize the high-resolution NAG-SC ODE with implicit Euler rather than symplectic Euler (ablation)NAG-SC ODE · Strongly convex smooth functionsobjective gap convergence rate: 1 + \frac{1}{9} \sqrt{ \frac{\mu}{L} } -> 1 + \frac{1}{4} \sqrt{\frac{\mu}{L}}No clear effect
Retain the high-resolution gradient-correction term when using symplectic Euler (ablation)Strongly convex NAG-SC discretization · Strongly convex smooth functionsobjective gap convergence rate: 1 + \frac{1}{9} \sqrt{ \frac{\mu}{L} } -> 1 + \frac{\mu}{16L}Helped
Discretize the heavy-ball ODE with implicit Euler instead of symplectic Euler (ablation)Heavy-ball ODE · Strongly convex smooth functionsobjective gap convergence rate: 1 + \frac{\mu}{16L} -> 1 + \frac{1}{4} \sqrt{\frac{\mu}{L}}Helped
Discretize the modified high-resolution NAG-C ODE with symplectic EulerNAG-C ODE · Smooth convex functionsobjective gap convergence rate: O(1/k^2)Helped
Use explicit Euler on the modified high-resolution NAG-C ODE (ablation)NAG-C ODE · Smooth convex functionsconvergenceHurt

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