Global Continuous Optimization with Error Bound and Fast Convergence

no code implementations • 17 Jul 2016 • Kenji Kawaguchi, Yu Maruyama, Xiaoyu Zheng

This paper proposes a new global optimization algorithm, called Locally Oriented Global Optimization (LOGO), to aim for both fast convergence in practice and finite-time error bound in theory.

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