Articles with public access mandates - Alistair ShiltonLearn more
Available somewhere: 13
Multi-objective Bayesian optimisation with preferences over objectives
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
Advances in neural information processing systems 32, 2019
Mandates: Australian Research Council
Bayesian optimization for categorical and category-specific continuous inputs
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5256-5263, 2020
Mandates: Australian Research Council
Exploiting strategy-space diversity for batch Bayesian optimization
S Gupta, A Shilton, S Rana, S Venkatesh
International conference on artificial intelligence and statistics, 538-547, 2018
Mandates: Australian Research Council
Human-AI collaborative Bayesian optimisation
AK AV, S Rana, A Shilton, S Venkatesh
Advances in Neural Information Processing Systems 35, 16233-16245, 2022
Mandates: Australian Research Council
Fairness improvement for black-box classifiers with Gaussian process
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
Information Sciences 576, 542-556, 2021
Mandates: Australian Research Council
Multiclass anomaly detector: the cs++ support vector machine
A Shilton, S Rajasegarar, M Palaniswami
Journal of Machine Learning Research 21 (213), 1-39, 2020
Mandates: Australian Research Council
Kernel functional optimisation
AK Anjanapura Venkatesh, A Shilton, S Rana, S Gupta, S Venkatesh
Advances in Neural Information Processing Systems 34, 4725-4737, 2021
Mandates: Australian Research Council
Bayesian optimisation for objective functions with varying smoothness
AV Arun Kumar, S Rana, C Li, S Gupta, A Shilton, S Venkatesh
AI 2019: Advances in Artificial Intelligence: 32nd Australasian Joint …, 2019
Mandates: Australian Research Council
Gradient descent in neural networks as sequential learning in reproducing kernel banach space
A Shilton, S Gupta, S Rana, S Venkatesh
International Conference on Machine Learning, 31435-31488, 2023
Mandates: Australian Research Council
Kernel Pre-Training in Feature Space via m-Kernels
A Shilton, S Gupta, S Rana, P Vellanki, C Li, S Venkatesh, L Park, A Sutti, ...
stat 1050, 21, 2018
Mandates: Australian Research Council
Multi-Target Optimisation via Bayesian Optimisation and Linear Programming.
A Shilton, S Rana, S Gupta, S Venkatesh
UAI, 145-155, 2018
Mandates: Australian Research Council
Kernel Functional Optimisation
AV Arun Kumar, A Shilton, S Rana, S Gupta, S Venkatesh, W Ponds
Deakin University, 2022
Mandates: Australian Research Council
TRF: Learning Kernels with Tuned Random Features
A Shilton, S Gupta, S Rana, AK Venkatesh, S Venkatesh
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8286-8294, 2022
Mandates: Australian Research Council
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