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Session II.2 - Continuous Optimization

Friday, June 16, 14:00 ~ 14:30

Subspace methods for nonconvex optimization

Coralia Cartis

University of Oxford, United Kingdom   -   This email address is being protected from spambots. You need JavaScript enabled to view it.

We discuss random and deterministic subspace methods for nonconvex optimization problems. We are interested in the global optimisation of functions with low effective dimensionality, that vary only along certain important directions or components. We show that the effective subspace of variation can be efficiently learned in advance of the optimization process; we contrast this with random embedding techniques that focus directly on optimization rather than learning. For local optimization, time permitting, we will also discuss efficient choices of subspaces that blend randomisation techniques with expert deterministic choices.

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