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Manifold Learning for Optimization Acceleration by Luis Aguilar Loo is a document available to read on EtoBox.
What is Manifold Learning for Optimization Acceleration about?
The document presents a method for accelerating coarse-grained optimization in high-dimensional problems by utilizing manifold learning techniques. It proposes a data-driven approach to identify and parameterize a low-dimensional manifold that captures the essential dynamics of the optimization process, allowing for more efficient exploration of the parameter space. The method combines an inner optimization algorithm with dimensionality reduction techniques to enhance convergence rates in derivative-free op
- Author
- Luis Aguilar Loo
- Language
- EN