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Edwin V. Bonilla
Edwin V. Bonilla
Principal Research Scientist, CSIRO's Data61
Verifierad e-postadress på data61.csiro.au - Startsida
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Multi-task Gaussian process prediction
EV Bonilla, C Williams, KM Chai
Advances in Neural Information Processing Systems (NeurIPS), 153-160, 2007
12482007
Using machine learning to focus iterative optimization
F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ...
International Symposium on Code Generation and Optimization, 11 pp.-305, 2006
5022006
Rapidly selecting good compiler optimizations using performance counters
J Cavazos, G Fursin, F Agakov, E Bonilla, MFP O'Boyle, O Temam
International Symposium on Code Generation and Optimization, 185-197, 2007
3322007
Milepost gcc: Machine learning enabled self-tuning compiler
G Fursin, Y Kashnikov, AW Memon, Z Chamski, O Temam, M Namolaru, ...
International journal of parallel programming 39, 296-327, 2011
3032011
Improving Topic Coherence with Regularized Topic Models
D Newman, EV Bonilla, W Buntine
Advances in Neural Information Processing Systems (NeurIPS), 2011
2372011
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
2072014
Random feature expansions for deep Gaussian processes
K Cutajar, EV Bonilla, P Michiardi, M Filippone
International Conference on Machine Learning (ICML), 884-893, 2017
159*2017
MILEPOST GCC: machine learning based research compiler
G Fursin, C Miranda, O Temam, M Namolaru, E Yom-Tov, A Zaks, ...
GCC Summit, 2008
1592008
Kernel multi-task learning using task-specific features
EV Bonilla, FV Agakov, CKI Williams
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2007
1362007
A predictive model for dynamic microarchitectural adaptivity control
C Dubach, TM Jones, EV Bonilla, MFP O'Boyle
2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 485-496, 2010
1102010
Gaussian process preference elicitation
EV Bonilla, S Guo, S Sanner
Advances in Neural Information Processing Systems (NeurIPS), 262-270, 2010
107*2010
Collaborative Multi-output Gaussian Processes.
TV Nguyen, EV Bonilla
Uncertainty in Artificial Intelligence (UAI), 643-652, 2014
1062014
New objective functions for social collaborative filtering
J Noel, S Sanner, KN Tran, P Christen, L Xie, EV Bonilla, E Abbasnejad, ...
Proceedings of the 21st international conference on World Wide Web, 859-868, 2012
952012
Automatic performance model construction for the fast software exploration of new hardware designs
J Cavazos, C Dubach, F Agakov, E Bonilla, MFP O'Boyle, G Fursin, ...
International conference on Compilers, architecture and synthesis for …, 2006
952006
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
C Dubach, TM Jones, EV Bonilla, G Fursin, MFP O'Boyle
Proceedings of the 42nd Annual IEEE/ACM International Symposium on …, 2009
782009
Fast allocation of Gaussian process experts
T Nguyen, E Bonilla
International Conference on Machine Learning (ICML), 145-153, 2014
682014
AutoGP: Exploring the capabilities and limitations of Gaussian process models
K Krauth, EV Bonilla, K Cutajar, M Filippone
Uncertainty in Artificial Intelligence (UAI), 2017
602017
Scalable inference for Gaussian process models with black-box likelihoods
A Dezfouli, EV Bonilla
Advances in Neural Information Processing Systems (NeurIPS) 28, 2015
602015
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 (NeurIPS), 2020
462020
Automated variational inference for Gaussian process models
TV Nguyen, EV Bonilla
Advances in Neural Information Processing Systems (NeurIPS) 27, 2014
442014
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Artiklar 1–20