Bin Xin Ru

According to our database1, Bin Xin Ru authored at least 9 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
Proceedings of the 38th International Conference on Machine Learning, 2021

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.
CoRR, 2020

Bayesian Optimisation over Multiple Continuous and Categorical Inputs.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.
Entropy, 2019

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Entropic Spectral Learning in Large Scale Networks.
CoRR, 2018

VBALD - Variational Bayesian Approximation of Log Determinants.
CoRR, 2018

Fast Information-theoretic Bayesian Optimisation.
Proceedings of the 35th International Conference on Machine Learning, 2018


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