Search Results for author: Alexandre Max Maraval

Found 2 papers, 2 papers with code

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

2 code implementations • 7 Jun 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

We introduce a method combining variational autoencoders (VAEs) and deep metric learning to perform Bayesian optimisation (BO) over high-dimensional and structured input spaces.

Ranked #1 on Molecular Graph Generation on ZINC

Bayesian Optimisation Metric Learning +2

2,968

Paper
Code

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

3 code implementations • 7 Dec 2020 • Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan Rhys Griffiths, Alexandre Max Maraval, Hao Jianye, Jun Wang, Jan Peters, Haitham Bou Ammar

Our results on the Bayesmark benchmark indicate that heteroscedasticity and non-stationarity pose significant challenges for black-box optimisers.

Ranked #1 on Hyperparameter Optimization on Bayesmark

Bayesian Optimisation BIG-bench Machine Learning +1

2,968

Paper
Code

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