From Adam to Adam-Like Lagrangians: Second-Order Nonlocal Dynamics
Carlos Heredia

TL;DR
This paper develops a novel second-order nonlocal dynamical system model for Adam optimization, providing theoretical analysis and a variational perspective, with numerical validation on Rosenbrock functions.
Contribution
It introduces a second-order integro-differential formulation of Adam and a nonlocal Lagrangian perspective, extending the understanding of Adam's dynamics.
Findings
The inertial nonlocal model relates to the first-order Adam flow via an $\alpha$-refinement limit.
Lyapunov-based stability and convergence are established for the proposed dynamics.
Numerical simulations confirm the model's agreement with discrete Adam on Rosenbrock-type problems.
Abstract
In this paper, we derive an accelerated continuous-time formulation of Adam by modeling it as a second-order integro-differential dynamical system. We relate this inertial nonlocal model to an existing first-order nonlocal Adam flow through an -refinement limit, and we provide Lyapunov-based stability and convergence analyses. We also introduce an Adam-inspired nonlocal Lagrangian formulation, offering a variational viewpoint. Numerical simulations on Rosenbrock-type examples show agreement between the proposed dynamics and discrete Adam.
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Taxonomy
TopicsStability and Controllability of Differential Equations · Model Reduction and Neural Networks · Control and Stability of Dynamical Systems
