Articles with public access mandates - Edwin V. BonillaLearn more
Available somewhere: 24
Automatic feature generation for machine learning--based optimising compilation
H Leather, E Bonilla, M O'boyle
ACM Transactions on Architecture and Code Optimization 11 (1), 1-32, 2014
Mandates: European Commission
Random feature expansions for deep Gaussian processes
K Cutajar, EV Bonilla, P Michiardi, M Filippone
International Conference on Machine Learning (ICML), 884-893, 2017
Mandates: European Commission, AXA Research Fund, France
Collaborative Multi-output Gaussian Processes.
TV Nguyen, EV Bonilla
Uncertainty in Artificial Intelligence (UAI), 643-652, 2014
Mandates: Australian Research Council
Fast allocation of Gaussian process experts
T Nguyen, E Bonilla
International Conference on Machine Learning (ICML), 145-153, 2014
Mandates: Australian Research Council
Scalable inference for Gaussian process models with black-box likelihoods
A Dezfouli, EV Bonilla
Advances in Neural Information Processing Systems (NeurIPS) 28, 2015
Mandates: Australian Research Council
Learning community-based preferences via dirichlet process mixtures of gaussian processes
E Abbasnejad, S Sanner, EV Bonilla, P Poupart
International joint conference on artificial intelligence, 2013
Mandates: Australian Research Council
Calibrating Deep Convolutional Gaussian Processes
GL Tran, EV Bonilla, JP Cunningham, P Michiardi, M Filippone
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mandates: AXA Research Fund, France
Automated variational inference for Gaussian process models
TV Nguyen, EV Bonilla
Advances in Neural Information Processing Systems (NeurIPS) 27, 2014
Mandates: Australian Research Council
Distribution regression for sequential data
M Lemercier, C Salvi, T Damoulas, E Bonilla, T Lyons
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Efficient Variational Inference for Gaussian Process Regression Networks
T Nguyen, E Bonilla
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2013
Mandates: Australian Research Council
Sparse Gaussian processes revisited: Bayesian approaches to inducing-variable approximations
S Rossi, M Heinonen, E Bonilla, Z Shen, M Filippone
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
Mandates: Agence Nationale de la Recherche, AXA Research Fund, France
Dynamic microarchitectural adaptation using machine learning
C Dubach, TM Jones, EV Bonilla
ACM Transactions on Architecture and Code Optimization (TACO) 10 (4), 1-28, 2013
Mandates: Australian Research Council, UK Engineering and Physical Sciences Research …
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
M Lemercier, C Salvi, T Cass, EV Bonilla, T Damoulas, T Lyons
International Conference on Machine Learning (ICML), 2021
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Distributed Bayesian geophysical inversions
L McCalman, ST O’Callaghan, A Reid, D Shen, S Carter, L Krieger, ...
Thirty-Ninth Stanford geothermal workshop, 1-11, 2014
Mandates: Australian Research Council
Bayesian joint inversions for the exploration of earth resources
AS Reid, S O’Callaghan, E Bonilla, L McCalman, T Rawling, F Ramos
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Mandates: Australian Research Council
Structured Variational Inference in Continuous Cox Process Models
V Aglietti, EV Bonilla, T Damoulas, S Cripps
Advances in Neural Information Processing Systems (NeurIPS), 2019
Mandates: Australian Research Council, UK Engineering and Physical Sciences Research …
Extended and unscented Gaussian processes
DM Steinberg, EV Bonilla
Advances in Neural Information Processing Systems (NeurIPS) 27, 2014
Mandates: Australian Research Council
Model Selection for Bayesian Autoencoders
BH Tran, S Rossi, D Milios, P Michiardi, EV Bonilla, M Filippone
Advances in Neural Information Processing Systems (NeurIPS), 2021
Mandates: Agence Nationale de la Recherche, AXA Research Fund, France
Efficient Inference in Multi-task Cox Process Models
V Aglietti, T Damoulas, E Bonilla
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mandates: UK Engineering and Physical Sciences Research Council
Feature-based learning for diverse and privacy-preserving counterfactual explanations
V Vo, T Le, V Nguyen, H Zhao, EV Bonilla, G Haffari, D Phung
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Mandates: Australian Research Council
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