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Alexander I. Cowen-Rivers

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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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?

Dec 17, 2020
Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, 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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SAMBA: Safe Model-Based & Active Reinforcement Learning

Jun 12, 2020
Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar

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Emergent Communication with World Models

Feb 22, 2020
Alexander I. Cowen-Rivers, Jason Naradowsky

* NeurIPS Workshop on Emergent Communication 

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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings

Jun 12, 2019
Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktaschel, Matko Bovsnjak, Sebastian Riedel, Jun Wang

* Accepted at IJCAI 19 Neural-Symbolic Learning and Reasoning Workshop 

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