A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement

Author:

Yang Kaifeng1ORCID,Chen Kai2ORCID,Affenzeller Michael3ORCID,Werth Bernhard3ORCID

Affiliation:

1. FH Hagenberg, Hagengerg, Austria

2. Central South University, Changsha, China

3. FH Hagenberg, Hagenberg, Austria

Funder

FWF Der Wissenschaftsfonds

Publisher

ACM

Reference63 articles.

1. Mauricio A. Álvarez and Neil D. Lawrence. 2008. Sparse Convolved Gaussian Processes for Multi-output Regression . In Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems , Vancouver, British Columbia, Canada, December 8--11 , 2008 , Daphne Koller, Dale Schuurmans, Yoshua Bengio, and Léon Bottou (Eds.). Curran Associates, Inc., 57--64. Mauricio A. Álvarez and Neil D. Lawrence. 2008. Sparse Convolved Gaussian Processes for Multi-output Regression. In Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8--11, 2008, Daphne Koller, Dale Schuurmans, Yoshua Bengio, and Léon Bottou (Eds.). Curran Associates, Inc., 57--64.

2. Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence etal 2012. Kernels for vector-valued functions: A review. Foundations and Trends® in Machine Learning 4 3 (2012) 195--266. Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence et al. 2012. Kernels for vector-valued functions: A review. Foundations and Trends® in Machine Learning 4 3 (2012) 195--266.

3. Edwin V. Bonilla Kian M. Chai and Christopher Williams. 2008. Multi-task Gaussian process prediction. In Advances in neural information processing systems. 153--160. Edwin V. Bonilla Kian M. Chai and Christopher Williams. 2008. Multi-task Gaussian process prediction. In Advances in neural information processing systems. 153--160.

4. The normal law under linear restrictions: simulation and estimation via minimax tilting

5. Kai Chen , Twan van Laarhoven , Jinsong Chen , and Elena Marchiori . 2019 . Incorporating dependencies in spectral kernels for Gaussian processes . In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 565--581 . Kai Chen, Twan van Laarhoven, Jinsong Chen, and Elena Marchiori. 2019. Incorporating dependencies in spectral kernels for Gaussian processes. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 565--581.

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