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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

Jun 16, 2021
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar

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HEBO: Heteroscedastic Evolutionary Bayesian Optimisation

Dec 07, 2020
Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Hao Jianye, Jun Wang, Haitham Bou Ammar

* NeurIPS 2020, Black-box optimisation challenge competition track 

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Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network

Dec 01, 2019
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

* 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) 

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