Bin Xin Ru

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 13

Top Topics

Neural Architecture

Variational Bayesian

Maximum Entropy

Top Venues

Publications

Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. ICML (2021)
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. CoRR (2021)
Bin Xin Ru, Xingchen Wan, Xiaowen Dong, Michael A. Osborne
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels. ICLR (2021)
Bin Xin Ru, Xingchen Wan, Xiaowen Dong, Michael A. Osborne
Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel. CoRR (2020)
Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. ICML (2020)
Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy 21 (6) (2019)
Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. CoRR (2019)
Ahsan S. Alvi, Bin Xin Ru, Jan Calliess, Stephen J. Roberts, Michael A. Osborne
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. CoRR (2019)
Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. CoRR (2019)
Ahsan S. Alvi, Bin Xin Ru, Jan-Peter Calliess, Stephen J. Roberts, Michael A. Osborne
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. ICML (2019)
Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
Entropic Spectral Learning in Large Scale Networks. CoRR (2018)
Bin Xin Ru, Mark McLeod, Diego Granziol, Michael A. Osborne
Fast Information-theoretic Bayesian Optimisation. ICML (2018)
Diego Granziol, Edward Wagstaff, Bin Xin Ru, Michael A. Osborne, Stephen J. Roberts
VBALD - Variational Bayesian Approximation of Log Determinants. CoRR (2018)