Fast Information-theoretic Bayesian Optimisation. - Bin Xin Ru; Mark McLeod; Diego Granziol; Michael A. Osborne (ICML, 2018)

VBALD - Variational Bayesian Approximation of Log Determinants. - Diego Granziol; Edward Wagstaff; Bin Xin Ru; Michael A. Osborne; Stephen J. Roberts (CoRR, 2018)

Entropic Spectral Learning in Large Scale Networks. - Diego Granziol; Bin Xin Ru; Stefan Zohren; Xiaowen Dong 001; Michael A. Osborne; Stephen J. Roberts (CoRR, 2018)

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. - Ahsan S. Alvi; Bin Xin Ru; Jan-Peter Calliess; Stephen J. Roberts; Michael A. Osborne (ICML, 2019)

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. - Diego Granziol; Bin Xin Ru; Stefan Zohren; Xiaowen Dong 001; Michael A. Osborne; Stephen J. Roberts (Entropy, 2019)

Bayesian Optimisation over Multiple Continuous and Categorical Inputs. - Bin Xin Ru; Ahsan S. Alvi; Vu Nguyen; Michael A. Osborne; Stephen J. Roberts (ICML, 2020)

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel. - Bin Xin Ru; Xingchen Wan; Xiaowen Dong 001; Michael A. Osborne (CoRR, 2020)

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels. - Bin Xin Ru; Xingchen Wan; Xiaowen Dong 001; Michael A. Osborne (ICLR, 2021)

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. - Xingchen Wan; Vu Nguyen; Huong Ha 001; Bin Xin Ru; Cong Lu; Michael A. Osborne (ICML, 2021)