Bayesian Optimization with Local Search

Author:

Gao Yuzhou,Yu Tengchao,Li Jinglai

Publisher

Springer International Publishing

Reference20 articles.

1. Bottou, L.: Large-scale machine learning with stochastic gradient descent. In: Lechevallier, Y., Saporta, G. (eds) Proceedings of COMPSTAT’2010, pp. 177–186. Physica-Verlag HD, Heidelberg (2010). https://doi.org/10.1007/978-3-7908-2604-3_16

2. Brochu, E., Cora, V.M., De Freitas, N.: A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599 (2010)

3. Djolonga, J., Krause, A., Cevher, V.: High-dimensional Gaussian process bandits. In: Advances in Neural Information Processing Systems, pp. 1025–1033 (2013)

4. Gavana, A.: Global optimization benchmarks and AMPGO (2005). Accessed 30 Sept 2019

5. György, A., Kocsis, L.: Efficient multi-start strategies for local search algorithms. J. Artif. Intell. Res. 41, 407–444 (2011)

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