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Louis C. Tiao
Louis C. Tiao
Other namesLouis Tiao
PhD candidate, University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Variational inference for graph convolutional networks in the absence of graph data and adversarial settings
P Elinas, EV Bonilla, L Tiao
Advances in Neural Information Processing Systems 33, 18648-18660, 2020
592020
Model-based asynchronous hyperparameter and neural architecture search
A Klein, LC Tiao, T Lienart, C Archambeau, M Seeger
arXiv preprint arXiv:2003.10865, 2020
36*2020
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
LC Tiao, EV Bonilla, F Ramos
arXiv preprint arXiv:1806.01771, 2018
302018
BORE: Bayesian optimization by density-ratio estimation
LC Tiao, A Klein, MW Seeger, EV Bonilla, C Archambeau, F Ramos
International Conference on Machine Learning, 10289-10300, 2021
26*2021
Variational graph convolutional networks
L Tiao, P Elinas, H Nguyen, EV Bonilla
Proc. Graph Rep. Learn. Workshop, 2019
9*2019
Batch Bayesian optimisation via density-ratio estimation with guarantees
R Oliveira, L Tiao, FT Ramos
Advances in Neural Information Processing Systems 35, 29816-29829, 2022
22022
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
LC Tiao, V Dutordoir, V Picheny
arXiv preprint arXiv:2304.14034, 2023
2023
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings: Supplementary Material
P Elinas, EV Bonilla, L Tiao
Supplementary Material BORE: Bayesian Optimization by Density-Ratio Estimation
LC Tiao, A Klein, M Seeger, EV Bonilla, C Archambeau, F Ramos
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Articles 1–9