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ORCIDBibTeX records: Edwin V. Bonilla
@article{DBLP:journals/corr/abs-2402-02644,
author = {Edwin V. Bonilla and
Pantelis Elinas and
He Zhao and
Maurizio Filippone and
Vassili Kitsios and
Terry O'Kane},
title = {Variational {DAG} Estimation via State Augmentation With Stochastic
Permutations},
journal = {CoRR},
volume = {abs/2402.02644},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.02644},
doi = {10.48550/ARXIV.2402.02644},
eprinttype = {arXiv},
eprint = {2402.02644},
timestamp = {Mon, 12 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-02644.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-03614,
author = {He Zhao and
Edwin V. Bonilla},
title = {Bayesian Factorised Granger-Causal Graphs For Multivariate Time-series
Data},
journal = {CoRR},
volume = {abs/2402.03614},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.03614},
doi = {10.48550/ARXIV.2402.03614},
eprinttype = {arXiv},
eprint = {2402.03614},
timestamp = {Mon, 12 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-03614.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-15255,
author = {Vy Vo and
He Zhao and
Trung Le and
Edwin V. Bonilla and
Dinh Q. Phung},
title = {Optimal Transport for Structure Learning Under Missing Data},
journal = {CoRR},
volume = {abs/2402.15255},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.15255},
doi = {10.48550/ARXIV.2402.15255},
eprinttype = {arXiv},
eprint = {2402.15255},
timestamp = {Fri, 22 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-15255.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BishopB23,
author = {Adrian N. Bishop and
Edwin V. Bonilla},
editor = {Francisco J. R. Ruiz and
Jennifer G. Dy and
Jan{-}Willem van de Meent},
title = {Recurrent Neural Networks and Universal Approximation of Bayesian
Filters},
booktitle = {International Conference on Artificial Intelligence and Statistics,
25-27 April 2023, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {206},
pages = {6956--6967},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v206/bishop23a.html},
timestamp = {Mon, 19 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BishopB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FanBOS23,
author = {Xuhui Fan and
Edwin V. Bonilla and
Terence J. O'Kane and
Scott A. Sisson},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {Free-Form Variational Inference for Gaussian Process State-Space Models},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {9603--9622},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/fan23a.html},
timestamp = {Mon, 22 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/FanBOS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0001SDB23,
author = {He Zhao and
Ke Sun and
Amir Dezfouli and
Edwin V. Bonilla},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {Transformed Distribution Matching for Missing Value Imputation},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {42159--42186},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/zhao23h.html},
timestamp = {Tue, 13 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/0001SDB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/kdd/VoL00BHP23,
author = {Vy Vo and
Trung Le and
Van Nguyen and
He Zhao and
Edwin V. Bonilla and
Gholamreza Haffari and
Dinh Q. Phung},
editor = {Ambuj K. Singh and
Yizhou Sun and
Leman Akoglu and
Dimitrios Gunopulos and
Xifeng Yan and
Ravi Kumar and
Fatma Ozcan and
Jieping Ye},
title = {Feature-based Learning for Diverse and Privacy-Preserving Counterfactual
Explanations},
booktitle = {Proceedings of the 29th {ACM} {SIGKDD} Conference on Knowledge Discovery
and Data Mining, {KDD} 2023, Long Beach, CA, USA, August 6-10, 2023},
pages = {2211--2222},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3580305.3599343},
doi = {10.1145/3580305.3599343},
timestamp = {Mon, 25 Sep 2023 08:29:22 +0200},
biburl = {https://dblp.org/rec/conf/kdd/VoL00BHP23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-09921,
author = {Xuhui Fan and
Edwin V. Bonilla and
Terence J. O'Kane and
Scott A. Sisson},
title = {Free-Form Variational Inference for Gaussian Process State-Space Models},
journal = {CoRR},
volume = {abs/2302.09921},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.09921},
doi = {10.48550/ARXIV.2302.09921},
eprinttype = {arXiv},
eprint = {2302.09921},
timestamp = {Mon, 22 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-09921.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-10363,
author = {He Zhao and
Ke Sun and
Amir Dezfouli and
Edwin V. Bonilla},
title = {Transformed Distribution Matching for Missing Value Imputation},
journal = {CoRR},
volume = {abs/2302.10363},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.10363},
doi = {10.48550/ARXIV.2302.10363},
eprinttype = {arXiv},
eprint = {2302.10363},
timestamp = {Tue, 13 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-10363.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-15627,
author = {Ryan Thompson and
Edwin V. Bonilla and
Robert Kohn},
title = {Contextual directed acyclic graphs},
journal = {CoRR},
volume = {abs/2310.15627},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.15627},
doi = {10.48550/ARXIV.2310.15627},
eprinttype = {arXiv},
eprint = {2310.15627},
timestamp = {Tue, 31 Oct 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-15627.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BlauBCD22,
author = {Tom Blau and
Edwin V. Bonilla and
Iadine Chades and
Amir Dezfouli},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Optimizing Sequential Experimental Design with Deep Reinforcement
Learning},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {2107--2128},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/blau22a.html},
timestamp = {Tue, 12 Jul 2022 17:36:52 +0200},
biburl = {https://dblp.org/rec/conf/icml/BlauBCD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhiLOBR22,
author = {Weiming Zhi and
Tin Lai and
Lionel Ott and
Edwin V. Bonilla and
Fabio Ramos},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Learning Efficient and Robust Ordinary Differential Equations via
Invertible Neural Networks},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {27060--27074},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/zhi22a.html},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhiLOBR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-00821,
author = {Tom Blau and
Edwin V. Bonilla and
Amir Dezfouli and
Iadine Chades},
title = {Optimizing Sequential Experimental Design with Deep Reinforcement
Learning},
journal = {CoRR},
volume = {abs/2202.00821},
year = {2022},
url = {https://arxiv.org/abs/2202.00821},
eprinttype = {arXiv},
eprint = {2202.00821},
timestamp = {Wed, 09 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-00821.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-12508,
author = {Pantelis Elinas and
Edwin V. Bonilla},
title = {Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision},
journal = {CoRR},
volume = {abs/2202.12508},
year = {2022},
url = {https://arxiv.org/abs/2202.12508},
eprinttype = {arXiv},
eprint = {2202.12508},
timestamp = {Wed, 02 Mar 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-12508.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-00335,
author = {Adrian N. Bishop and
Edwin V. Bonilla},
title = {Recurrent Neural Networks and Universal Approximation of Bayesian
Filters},
journal = {CoRR},
volume = {abs/2211.00335},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.00335},
doi = {10.48550/ARXIV.2211.00335},
eprinttype = {arXiv},
eprint = {2211.00335},
timestamp = {Fri, 04 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-00335.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RossiHBSF21,
author = {Simone Rossi and
Markus Heinonen and
Edwin V. Bonilla and
Zheyang Shen and
Maurizio Filippone},
editor = {Arindam Banerjee and
Kenji Fukumizu},
title = {Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable
Approximations},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2021, April 13-15, 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {130},
pages = {1837--1845},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v130/rossi21a.html},
timestamp = {Wed, 14 Apr 2021 16:51:37 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RossiHBSF21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LemercierSDBL21,
author = {Maud Lemercier and
Cristopher Salvi and
Theodoros Damoulas and
Edwin V. Bonilla and
Terry J. Lyons},
editor = {Arindam Banerjee and
Kenji Fukumizu},
title = {Distribution Regression for Sequential Data},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2021, April 13-15, 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {130},
pages = {3754--3762},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v130/lemercier21a.html},
timestamp = {Wed, 14 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LemercierSDBL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LemercierSCBDL21,
author = {Maud Lemercier and
Cristopher Salvi and
Thomas Cass and
Edwin V. Bonilla and
Theodoros Damoulas and
Terry J. Lyons},
editor = {Marina Meila and
Tong Zhang},
title = {SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {6233--6242},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/lemercier21a.html},
timestamp = {Wed, 25 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LemercierSCBDL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TiaoKSBAR21,
author = {Louis C. Tiao and
Aaron Klein and
Matthias W. Seeger and
Edwin V. Bonilla and
C{\'{e}}dric Archambeau and
Fabio Ramos},
editor = {Marina Meila and
Tong Zhang},
title = {{BORE:} Bayesian Optimization by Density-Ratio Estimation},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {10289--10300},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/tiao21a.html},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TiaoKSBAR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/TranRMMBF21,
author = {Ba{-}Hien Tran and
Simone Rossi and
Dimitrios Milios and
Pietro Michiardi and
Edwin V. Bonilla and
Maurizio Filippone},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Model Selection for Bayesian Autoencoders},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {19730--19742},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/a41db61e2728ef963614a8c8755b9b9a-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/TranRMMBF21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-09009,
author = {Louis C. Tiao and
Aaron Klein and
Matthias W. Seeger and
Edwin V. Bonilla and
C{\'{e}}dric Archambeau and
Fabio Ramos},
title = {{BORE:} Bayesian Optimization by Density-Ratio Estimation},
journal = {CoRR},
volume = {abs/2102.09009},
year = {2021},
url = {https://arxiv.org/abs/2102.09009},
eprinttype = {arXiv},
eprint = {2102.09009},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-09009.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-04211,
author = {Maud Lemercier and
Cristopher Salvi and
Thomas Cass and
Edwin V. Bonilla and
Theodoros Damoulas and
Terry J. Lyons},
title = {SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data},
journal = {CoRR},
volume = {abs/2105.04211},
year = {2021},
url = {https://arxiv.org/abs/2105.04211},
eprinttype = {arXiv},
eprint = {2105.04211},
timestamp = {Fri, 14 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2105-04211.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-06245,
author = {Ba{-}Hien Tran and
Simone Rossi and
Dimitrios Milios and
Pietro Michiardi and
Edwin V. Bonilla and
Maurizio Filippone},
title = {Model Selection for Bayesian Autoencoders},
journal = {CoRR},
volume = {abs/2106.06245},
year = {2021},
url = {https://arxiv.org/abs/2106.06245},
eprinttype = {arXiv},
eprint = {2106.06245},
timestamp = {Wed, 16 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-06245.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2107-01650,
author = {Weiming Zhi and
Tin Lai and
Lionel Ott and
Edwin V. Bonilla and
Fabio Ramos},
title = {Learning ODEs via Diffeomorphisms for Fast and Robust Integration},
journal = {CoRR},
volume = {abs/2107.01650},
year = {2021},
url = {https://arxiv.org/abs/2107.01650},
eprinttype = {arXiv},
eprint = {2107.01650},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2107-01650.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ElinasBT20,
author = {Pantelis Elinas and
Edwin V. Bonilla and
Louis C. Tiao},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {Variational Inference for Graph Convolutional Networks in the Absence
of Graph Data and Adversarial Settings},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/d882050bb9eeba930974f596931be527-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/ElinasBT20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ZhangWBRX20,
author = {Rui Zhang and
Christian J. Walder and
Edwin V. Bonilla and
Marian{-}Andrei Rizoiu and
Lexing Xie},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {Quantile Propagation for Wasserstein-Approximate Gaussian Processes},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/f5e62af885293cf4d511ceef31e61c80-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/ZhangWBRX20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-03080,
author = {Simone Rossi and
Markus Heinonen and
Edwin V. Bonilla and
Zheyang Shen and
Maurizio Filippone},
title = {Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable
Approximations},
journal = {CoRR},
volume = {abs/2003.03080},
year = {2020},
url = {https://arxiv.org/abs/2003.03080},
eprinttype = {arXiv},
eprint = {2003.03080},
timestamp = {Tue, 10 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2003-03080.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-05805,
author = {Maud Lemercier and
Cristopher Salvi and
Theodoros Damoulas and
Edwin V. Bonilla and
Terry J. Lyons},
title = {Distribution Regression for Continuous-Time Processes via the Expected
Signature},
journal = {CoRR},
volume = {abs/2006.05805},
year = {2020},
url = {https://arxiv.org/abs/2006.05805},
eprinttype = {arXiv},
eprint = {2006.05805},
timestamp = {Wed, 29 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-05805.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BonillaKD19,
author = {Edwin V. Bonilla and
Karl Krauth and
Amir Dezfouli},
title = {Generic Inference in Latent Gaussian Process Models},
journal = {J. Mach. Learn. Res.},
volume = {20},
pages = {117:1--117:63},
year = {2019},
url = {http://jmlr.org/papers/v20/16-437.html},
timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BonillaKD19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ml/DahlB19,
author = {Astrid Dahl and
Edwin V. Bonilla},
title = {Grouped Gaussian processes for solar power prediction},
journal = {Mach. Learn.},
volume = {108},
number = {8-9},
pages = {1287--1306},
year = {2019},
url = {https://doi.org/10.1007/s10994-019-05808-z},
doi = {10.1007/S10994-019-05808-Z},
timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ml/DahlB19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AgliettiDB19,
author = {Virginia Aglietti and
Theodoros Damoulas and
Edwin V. Bonilla},
editor = {Kamalika Chaudhuri and
Masashi Sugiyama},
title = {Efficient Inference in Multi-task Cox Process Models},
booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2019, 16-18 April 2019, Naha, Okinawa, Japan},
series = {Proceedings of Machine Learning Research},
volume = {89},
pages = {537--546},
publisher = {{PMLR}},
year = {2019},
url = {http://proceedings.mlr.press/v89/aglietti19a.html},
timestamp = {Fri, 07 Jun 2019 09:03:47 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AgliettiDB19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TranBCMF19,
author = {Gia{-}Lac Tran and
Edwin V. Bonilla and
John P. Cunningham and
Pietro Michiardi and
Maurizio Filippone},
editor = {Kamalika Chaudhuri and
Masashi Sugiyama},
title = {Calibrating Deep Convolutional Gaussian Processes},
booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2019, 16-18 April 2019, Naha, Okinawa, Japan},
series = {Proceedings of Machine Learning Research},
volume = {89},
pages = {1554--1563},
publisher = {{PMLR}},
year = {2019},
url = {http://proceedings.mlr.press/v89/tran19a.html},
timestamp = {Fri, 07 Jun 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TranBCMF19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/AgliettiBDC19,
author = {Virginia Aglietti and
Edwin V. Bonilla and
Theodoros Damoulas and
Sally Cripps},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Structured Variational Inference in Continuous Cox Process Models},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {12437--12447},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/688f3fe72241429902623b790f15a774-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/AgliettiBDC19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1903-03986,
author = {Astrid Dahl and
Edwin V. Bonilla},
title = {Sparse Grouped Gaussian Processes for Solar Power Forecasting},
journal = {CoRR},
volume = {abs/1903.03986},
year = {2019},
url = {http://arxiv.org/abs/1903.03986},
eprinttype = {arXiv},
eprint = {1903.03986},
timestamp = {Tue, 02 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1903-03986.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1906-01852,
author = {Louis C. Tiao and
Pantelis Elinas and
Harrison Nguyen and
Edwin V. Bonilla},
title = {Variational Spectral Graph Convolutional Networks},
journal = {CoRR},
volume = {abs/1906.01852},
year = {2019},
url = {http://arxiv.org/abs/1906.01852},
eprinttype = {arXiv},
eprint = {1906.01852},
timestamp = {Thu, 13 Jun 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1906-01852.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1906-03161,
author = {Virginia Aglietti and
Edwin V. Bonilla and
Theodoros Damoulas and
Sally Cripps},
title = {Structured Variational Inference in Continuous Cox Process Models},
journal = {CoRR},
volume = {abs/1906.03161},
year = {2019},
url = {http://arxiv.org/abs/1906.03161},
eprinttype = {arXiv},
eprint = {1906.03161},
timestamp = {Fri, 14 Jun 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1906-03161.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-10200,
author = {Rui Zhang and
Christian J. Walder and
Edwin V. Bonilla and
Marian{-}Andrei Rizoiu and
Lexing Xie},
title = {Quantile Propagation for Wasserstein-Approximate Gaussian Processes},
journal = {CoRR},
volume = {abs/1912.10200},
year = {2019},
url = {http://arxiv.org/abs/1912.10200},
eprinttype = {arXiv},
eprint = {1912.10200},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1912-10200.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DezfouliBN18,
author = {Amir Dezfouli and
Edwin V. Bonilla and
Richard Nock},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Variational Network Inference: Strong and Stable with Concrete Support},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1212--1221},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dezfouli18a.html},
timestamp = {Wed, 03 Apr 2019 18:17:30 +0200},
biburl = {https://dblp.org/rec/conf/icml/DezfouliBN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1805-09781,
author = {Virginia Aglietti and
Theodoros Damoulas and
Edwin V. Bonilla},
title = {Log Gaussian Cox Process Networks},
journal = {CoRR},
volume = {abs/1805.09781},
year = {2018},
url = {http://arxiv.org/abs/1805.09781},
eprinttype = {arXiv},
eprint = {1805.09781},
timestamp = {Wed, 09 Jan 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1805-09781.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1805-10522,
author = {Gia{-}Lac Tran and
Edwin V. Bonilla and
John P. Cunningham and
Pietro Michiardi and
Maurizio Filippone},
title = {Calibrating Deep Convolutional Gaussian Processes},
journal = {CoRR},
volume = {abs/1805.10522},
year = {2018},
url = {http://arxiv.org/abs/1805.10522},
eprinttype = {arXiv},
eprint = {1805.10522},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1805-10522.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-01771,
author = {Louis C. Tiao and
Edwin V. Bonilla and
Fabio Ramos},
title = {Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference},
journal = {CoRR},
volume = {abs/1806.01771},
year = {2018},
url = {http://arxiv.org/abs/1806.01771},
eprinttype = {arXiv},
eprint = {1806.01771},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1806-01771.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-02543,
author = {Astrid Dahl and
Edwin V. Bonilla},
title = {Grouped Gaussian Processes for Solar Power Prediction},
journal = {CoRR},
volume = {abs/1806.02543},
year = {2018},
url = {http://arxiv.org/abs/1806.02543},
eprinttype = {arXiv},
eprint = {1806.02543},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1806-02543.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GallianiDBQ17,
author = {Pietro Galliani and
Amir Dezfouli and
Edwin V. Bonilla and
Novi Quadrianto},
editor = {Aarti Singh and
Xiaojin (Jerry) Zhu},
title = {Gray-box Inference for Structured Gaussian Process Models},
booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence
and Statistics, {AISTATS} 2017, 20-22 April 2017, Fort Lauderdale,
FL, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {54},
pages = {353--361},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v54/galliani17a.html},
timestamp = {Wed, 29 May 2019 08:41:44 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GallianiDBQ17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CutajarBMF17,
author = {Kurt Cutajar and
Edwin V. Bonilla and
Pietro Michiardi and
Maurizio Filippone},
editor = {Doina Precup and
Yee Whye Teh},
title = {Random Feature Expansions for Deep Gaussian Processes},
booktitle = {Proceedings of the 34th International Conference on Machine Learning,
{ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {884--893},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v70/cutajar17a.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/CutajarBMF17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pkdd/DahlB17,
author = {Astrid Dahl and
Edwin V. Bonilla},
editor = {Wei Lee Woon and
Zeyar Aung and
Oliver Kramer and
Stuart E. Madnick},
title = {Scalable Gaussian Process Models for Solar Power Forecasting},
booktitle = {Data Analytics for Renewable Energy Integration: Informing the Generation
and Distribution of Renewable Energy - 5th {ECML} {PKDD} Workshop,
{DARE} 2017, Skopje, Macedonia, September 22, 2017, Revised Selected
Papers},
series = {Lecture Notes in Computer Science},
volume = {10691},
pages = {94--106},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-71643-5\_9},
doi = {10.1007/978-3-319-71643-5\_9},
timestamp = {Fri, 12 Nov 2021 13:21:01 +0100},
biburl = {https://dblp.org/rec/conf/pkdd/DahlB17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KrauthBCF17,
author = {Karl Krauth and
Edwin V. Bonilla and
Kurt Cutajar and
Maurizio Filippone},
editor = {Gal Elidan and
Kristian Kersting and
Alexander Ihler},
title = {AutoGP: Exploring the Capabilities and Limitations of Gaussian Process
Models},
booktitle = {Proceedings of the Thirty-Third Conference on Uncertainty in Artificial
Intelligence, {UAI} 2017, Sydney, Australia, August 11-15, 2017},
publisher = {{AUAI} Press},
year = {2017},
url = {http://auai.org/uai2017/proceedings/papers/50.pdf},
timestamp = {Mon, 05 Dec 2022 15:54:38 +0100},
biburl = {https://dblp.org/rec/conf/uai/KrauthBCF17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/DezfouliBN17,
author = {Amir Dezfouli and
Edwin V. Bonilla and
Richard Nock},
title = {Semi-parametric Network Structure Discovery Models},
journal = {CoRR},
volume = {abs/1702.08530},
year = {2017},
url = {http://arxiv.org/abs/1702.08530},
eprinttype = {arXiv},
eprint = {1702.08530},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/DezfouliBN17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BonillaSR16,
author = {Edwin V. Bonilla and
Daniel M. Steinberg and
Alistair Reid},
editor = {Maria{-}Florina Balcan and
Kilian Q. Weinberger},
title = {Extended and Unscented Kitchen Sinks},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning,
{ICML} 2016, New York City, NY, USA, June 19-24, 2016},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {48},
pages = {1651--1659},
publisher = {JMLR.org},
year = {2016},
url = {http://proceedings.mlr.press/v48/bonilla16.html},
timestamp = {Wed, 29 May 2019 08:41:46 +0200},
biburl = {https://dblp.org/rec/conf/icml/BonillaSR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/DezfouliB15,
author = {Amir Dezfouli and
Edwin V. Bonilla},
editor = {Corinna Cortes and
Neil D. Lawrence and
Daniel D. Lee and
Masashi Sugiyama and
Roman Garnett},
title = {Scalable Inference for Gaussian Process Models with Black-Box Likelihoods},
booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference
on Neural Information Processing Systems 2015, December 7-12, 2015,
Montreal, Quebec, Canada},
pages = {1414--1422},
year = {2015},
url = {https://proceedings.neurips.cc/paper/2015/hash/3b3dbaf68507998acd6a5a5254ab2d76-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/DezfouliB15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/taco/LeatherBO14,
author = {Hugh Leather and
Edwin V. Bonilla and
Michael F. P. O'Boyle},
title = {Automatic feature generation for machine learning-based optimising
compilation},
journal = {{ACM} Trans. Archit. Code Optim.},
volume = {11},
number = {1},
pages = {14:1--14:32},
year = {2014},
url = {https://doi.org/10.1145/2536688},
doi = {10.1145/2536688},
timestamp = {Wed, 17 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/taco/LeatherBO14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NguyenB14,
author = {Trung V. Nguyen and
Edwin V. Bonilla},
title = {Fast Allocation of Gaussian Process Experts},
booktitle = {Proceedings of the 31th International Conference on Machine Learning,
{ICML} 2014, Beijing, China, 21-26 June 2014},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {32},
pages = {145--153},
publisher = {JMLR.org},
year = {2014},
url = {http://proceedings.mlr.press/v32/nguyena14.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/NguyenB14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/SteinbergB14,
author = {Daniel M. Steinberg and
Edwin V. Bonilla},
editor = {Zoubin Ghahramani and
Max Welling and
Corinna Cortes and
Neil D. Lawrence and
Kilian Q. Weinberger},
title = {Extended and Unscented Gaussian Processes},
booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference
on Neural Information Processing Systems 2014, December 8-13 2014,
Montreal, Quebec, Canada},
pages = {1251--1259},
year = {2014},
url = {https://proceedings.neurips.cc/paper/2014/hash/9c82c7143c102b71c593d98d96093fde-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/SteinbergB14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/NguyenB14,
author = {Trung V. Nguyen and
Edwin V. Bonilla},
editor = {Zoubin Ghahramani and
Max Welling and
Corinna Cortes and
Neil D. Lawrence and
Kilian Q. Weinberger},
title = {Automated Variational Inference for Gaussian Process Models},
booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference
on Neural Information Processing Systems 2014, December 8-13 2014,
Montreal, Quebec, Canada},
pages = {1404--1412},
year = {2014},
url = {https://proceedings.neurips.cc/paper/2014/hash/8c6744c9d42ec2cb9e8885b54ff744d0-Abstract.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/NguyenB14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NguyenB14,
author = {Trung V. Nguyen and
Edwin V. Bonilla},
editor = {Nevin L. Zhang and
Jin Tian},
title = {Collaborative Multi-output Gaussian Processes},
booktitle = {Proceedings of the Thirtieth Conference on Uncertainty in Artificial
Intelligence, {UAI} 2014, Quebec City, Quebec, Canada, July 23-27,
2014},
pages = {643--652},
publisher = {{AUAI} Press},
year = {2014},
url = {https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1\&\#38;smnu=2\&\#38;article\_id=2500\&\#38;proceeding\_id=30},
timestamp = {Wed, 03 Feb 2021 11:09:27 +0100},
biburl = {https://dblp.org/rec/conf/uai/NguyenB14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/taco/DubachJB13,
author = {Christophe Dubach and
Timothy M. Jones and
Edwin V. Bonilla},
title = {Dynamic microarchitectural adaptation using machine learning},
journal = {{ACM} Trans. Archit. Code Optim.},
volume = {10},
number = {4},
pages = {31:1--31:28},
year = {2013},
url = {https://doi.org/10.1145/2541228.2541238},
doi = {10.1145/2541228.2541238},
timestamp = {Wed, 17 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/taco/DubachJB13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NguyenB13,
author = {Trung V. Nguyen and
Edwin V. Bonilla},
title = {Efficient Variational Inference for Gaussian Process Regression Networks},
booktitle = {Proceedings of the Sixteenth International Conference on Artificial
Intelligence and Statistics, {AISTATS} 2013, Scottsdale, AZ, USA,
April 29 - May 1, 2013},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {31},
pages = {472--480},
publisher = {JMLR.org},
year = {2013},
url = {http://proceedings.mlr.press/v31/nguyen13b.html},
timestamp = {Wed, 29 May 2019 08:41:44 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NguyenB13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcai/AbbasnejadSBP13,
author = {Ehsan Abbasnejad and
Scott Sanner and
Edwin V. Bonilla and
Pascal Poupart},
editor = {Francesca Rossi},
title = {Learning Community-Based Preferences via Dirichlet Process Mixtures
of Gaussian Processes},
booktitle = {{IJCAI} 2013, Proceedings of the 23rd International Joint Conference
on Artificial Intelligence, Beijing, China, August 3-9, 2013},
pages = {1213--1219},
publisher = {{IJCAI/AAAI}},
year = {2013},
url = {http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6766},
timestamp = {Tue, 23 Jan 2024 13:25:46 +0100},
biburl = {https://dblp.org/rec/conf/ijcai/AbbasnejadSBP13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcai/ReidOBMRR13,
author = {Alistair Reid and
Simon Timothy O'Callaghan and
Edwin V. Bonilla and
Lachlan McCalman and
Tim Rawling and
Fabio Ramos},
editor = {Francesca Rossi},
title = {Bayesian Joint Inversions for the Exploration of Earth Resources},
booktitle = {{IJCAI} 2013, Proceedings of the 23rd International Joint Conference
on Artificial Intelligence, Beijing, China, August 3-9, 2013},
pages = {2877--2884},
publisher = {{IJCAI/AAAI}},
year = {2013},
url = {http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6875},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ijcai/ReidOBMRR13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pkdd/AbbasnejadBS13,
author = {M. Ehsan Abbasnejad and
Edwin V. Bonilla and
Scott Sanner},
editor = {Hendrik Blockeel and
Kristian Kersting and
Siegfried Nijssen and
Filip Zelezn{\'{y}}},
title = {Decision-Theoretic Sparsification for Gaussian Process Preference
Learning},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference,
{ECML} {PKDD} 2013, Prague, Czech Republic, September 23-27, 2013,
Proceedings, Part {II}},
series = {Lecture Notes in Computer Science},
volume = {8189},
pages = {515--530},
publisher = {Springer},
year = {2013},
url = {https://doi.org/10.1007/978-3-642-40991-2\_33},
doi = {10.1007/978-3-642-40991-2\_33},
timestamp = {Tue, 21 Mar 2023 21:00:11 +0100},
biburl = {https://dblp.org/rec/conf/pkdd/AbbasnejadBS13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/date/ZuluagaBT12,
author = {Marcela Zuluaga and
Edwin V. Bonilla and
Nigel P. Topham},
editor = {Wolfgang Rosenstiel and
Lothar Thiele},
title = {Predicting best design trade-offs: {A} case study in processor customization},
booktitle = {2012 Design, Automation {\&} Test in Europe Conference {\&}
Exhibition, {DATE} 2012, Dresden, Germany, March 12-16, 2012},
pages = {1030--1035},
publisher = {{IEEE}},
year = {2012},
url = {https://doi.org/10.1109/DATE.2012.6176647},
doi = {10.1109/DATE.2012.6176647},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/date/ZuluagaBT12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BonillaR12,
author = {Edwin V. Bonilla and
Antonio Robles{-}Kelly},
title = {Discriminative Probabilistic Prototype Learning},
booktitle = {Proceedings of the 29th International Conference on Machine Learning,
{ICML} 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012},
publisher = {icml.cc / Omnipress},
year = {2012},
url = {http://icml.cc/2012/papers/389.pdf},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BonillaR12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/www/NoelSTCXBAP12,
author = {Joseph Noel and
Scott Sanner and
Khoi{-}Nguyen Tran and
Peter Christen and
Lexing Xie and
Edwin V. Bonilla and
Ehsan Abbasnejad and
Nicol{\'{a}}s Della Penna},
editor = {Alain Mille and
Fabien Gandon and
Jacques Misselis and
Michael Rabinovich and
Steffen Staab},
title = {New objective functions for social collaborative filtering},
booktitle = {Proceedings of the 21st World Wide Web Conference 2012, {WWW} 2012,
Lyon, France, April 16-20, 2012},
pages = {859--868},
publisher = {{ACM}},
year = {2012},
url = {https://doi.org/10.1145/2187836.2187952},
doi = {10.1145/2187836.2187952},
timestamp = {Fri, 16 Apr 2021 10:04:12 +0200},
biburl = {https://dblp.org/rec/conf/www/NoelSTCXBAP12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1206-4686,
author = {Edwin V. Bonilla and
Antonio Robles{-}Kelly},
title = {Discriminative Probabilistic Prototype Learning},
journal = {CoRR},
volume = {abs/1206.4686},
year = {2012},
url = {http://arxiv.org/abs/1206.4686},
eprinttype = {arXiv},
eprint = {1206.4686},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1206-4686.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijpp/FursinKMCTNYMZCa11,
author = {Grigori Fursin and
Yuriy Kashnikov and
Abdul Wahid Memon and
Zbigniew Chamski and
Olivier Temam and
Mircea Namolaru and
Elad Yom{-}Tov and
Bilha Mendelson and
Ayal Zaks and
Eric Courtois and
Fran{\c{c}}ois Bodin and
Phil Barnard and
Elton Ashton and
Edwin V. Bonilla and
John Thomson and
Christopher K. I. Williams and
Michael F. P. O'Boyle},
title = {Milepost {GCC:} Machine Learning Enabled Self-tuning Compiler},
journal = {Int. J. Parallel Program.},
volume = {39},
number = {3},
pages = {296--327},
year = {2011},
url = {https://doi.org/10.1007/s10766-010-0161-2},
doi = {10.1007/S10766-010-0161-2},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijpp/FursinKMCTNYMZCa11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/NewmanBB11,
author = {David Newman and
Edwin V. Bonilla and
Wray L. Buntine},
editor = {John Shawe{-}Taylor and
Richard S. Zemel and
Peter L. Bartlett and
Fernando C. N. Pereira and
Kilian Q. Weinberger},
title = {Improving Topic Coherence with Regularized Topic Models},
booktitle = {Advances in Neural Information Processing Systems 24: 25th Annual
Conference on Neural Information Processing Systems 2011. Proceedings
of a meeting held 12-14 December 2011, Granada, Spain},
pages = {496--504},
year = {2011},
url = {https://proceedings.neurips.cc/paper/2011/hash/5ef698cd9fe650923ea331c15af3b160-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/NewmanBB11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/micro/DubachJBO10,
author = {Christophe Dubach and
Timothy M. Jones and
Edwin V. Bonilla and
Michael F. P. O'Boyle},
title = {A Predictive Model for Dynamic Microarchitectural Adaptivity Control},
booktitle = {43rd Annual {IEEE/ACM} International Symposium on Microarchitecture,
{MICRO} 2010, 4-8 December 2010, Atlanta, Georgia, {USA}},
pages = {485--496},
publisher = {{IEEE} Computer Society},
year = {2010},
url = {https://doi.org/10.1109/MICRO.2010.14},
doi = {10.1109/MICRO.2010.14},
timestamp = {Tue, 31 May 2022 14:39:58 +0200},
biburl = {https://dblp.org/rec/conf/micro/DubachJBO10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BonillaGS10,
author = {Edwin V. Bonilla and
Shengbo Guo and
Scott Sanner},
editor = {John D. Lafferty and
Christopher K. I. Williams and
John Shawe{-}Taylor and
Richard S. Zemel and
Aron Culotta},
title = {Gaussian Process Preference Elicitation},
booktitle = {Advances in Neural Information Processing Systems 23: 24th Annual
Conference on Neural Information Processing Systems 2010. Proceedings
of a meeting held 6-9 December 2010, Vancouver, British Columbia,
Canada},
pages = {262--270},
publisher = {Curran Associates, Inc.},
year = {2010},
url = {https://proceedings.neurips.cc/paper/2010/hash/46922a0880a8f11f8f69cbb52b1396be-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/BonillaGS10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cgo/LeatherBO09,
author = {Hugh Leather and
Edwin V. Bonilla and
Michael F. P. O'Boyle},
title = {Automatic Feature Generation for Machine Learning Based Optimizing
Compilation},
booktitle = {Proceedings of the {CGO} 2009, The Seventh International Symposium
on Code Generation and Optimization, Seattle, Washington, USA, March
22-25, 2009},
pages = {81--91},
publisher = {{IEEE} Computer Society},
year = {2009},
url = {https://doi.org/10.1109/CGO.2009.21},
doi = {10.1109/CGO.2009.21},
timestamp = {Thu, 23 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cgo/LeatherBO09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/micro/DubachJBFO09,
author = {Christophe Dubach and
Timothy M. Jones and
Edwin V. Bonilla and
Grigori Fursin and
Michael F. P. O'Boyle},
editor = {David H. Albonesi and
Margaret Martonosi and
David I. August and
Jos{\'{e}} F. Mart{\'{\i}}nez},
title = {Portable compiler optimisation across embedded programs and microarchitectures
using machine learning},
booktitle = {42st Annual {IEEE/ACM} International Symposium on Microarchitecture
{(MICRO-42} 2009), December 12-16, 2009, New York, New York, {USA}},
pages = {78--88},
publisher = {{ACM}},
year = {2009},
url = {https://doi.org/10.1145/1669112.1669124},
doi = {10.1145/1669112.1669124},
timestamp = {Wed, 11 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/micro/DubachJBFO09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/ethos/Bonilla08,
author = {Edwin V. Bonilla},
title = {Compilers that learn to optimise : a probabilistic machine learning
approach},
school = {University of Edinburgh, {UK}},
year = {2008},
url = {https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.641779},
timestamp = {Tue, 05 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/phd/ethos/Bonilla08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cgo/CavazosFABOT07,
author = {John Cavazos and
Grigori Fursin and
Felix V. Agakov and
Edwin V. Bonilla and
Michael F. P. O'Boyle and
Olivier Temam},
title = {Rapidly Selecting Good Compiler Optimizations using Performance Counters},
booktitle = {Fifth International Symposium on Code Generation and Optimization
{(CGO} 2007), 11-14 March 2007, San Jose, California, {USA}},
pages = {185--197},
publisher = {{IEEE} Computer Society},
year = {2007},
url = {https://doi.org/10.1109/CGO.2007.32},
doi = {10.1109/CGO.2007.32},
timestamp = {Thu, 23 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cgo/CavazosFABOT07.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BonillaCW07,
author = {Edwin V. Bonilla and
Kian Ming Adam Chai and
Christopher K. I. Williams},
editor = {John C. Platt and
Daphne Koller and
Yoram Singer and
Sam T. Roweis},
title = {Multi-task Gaussian Process Prediction},
booktitle = {Advances in Neural Information Processing Systems 20, Proceedings
of the Twenty-First Annual Conference on Neural Information Processing
Systems, Vancouver, British Columbia, Canada, December 3-6, 2007},
pages = {153--160},
publisher = {Curran Associates, Inc.},
year = {2007},
url = {https://proceedings.neurips.cc/paper/2007/hash/66368270ffd51418ec58bd793f2d9b1b-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/BonillaCW07.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:journals/jmlr/BonillaAW07,
author = {Edwin V. Bonilla and
Felix V. Agakov and
Christopher K. I. Williams},
editor = {Marina Meila and
Xiaotong Shen},
title = {Kernel Multi-task Learning using Task-specific Features},
booktitle = {Proceedings of the Eleventh International Conference on Artificial
Intelligence and Statistics, {AISTATS} 2007, San Juan, Puerto Rico,
March 21-24, 2007},
series = {{JMLR} Proceedings},
volume = {2},
pages = {43--50},
publisher = {JMLR.org},
year = {2007},
url = {http://proceedings.mlr.press/v2/bonilla07a.html},
timestamp = {Wed, 29 May 2019 08:41:44 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BonillaAW07.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cases/CavazosDABOFT06,
author = {John Cavazos and
Christophe Dubach and
Felix V. Agakov and
Edwin V. Bonilla and
Michael F. P. O'Boyle and
Grigori Fursin and
Olivier Temam},
editor = {Seongsoo Hong and
Wayne H. Wolf and
Kriszti{\'{a}}n Flautner and
Taewhan Kim},
title = {Automatic performance model construction for the fast software exploration
of new hardware designs},
booktitle = {Proceedings of the 2006 International Conference on Compilers, Architecture,
and Synthesis for Embedded Systems, {CASES} 2006, Seoul, Korea, October
22-25, 2006},
pages = {24--34},
publisher = {{ACM}},
year = {2006},
url = {https://doi.org/10.1145/1176760.1176765},
doi = {10.1145/1176760.1176765},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cases/CavazosDABOFT06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cgo/AgakovBCFFOTTW06,
author = {Felix V. Agakov and
Edwin V. Bonilla and
John Cavazos and
Bj{\"{o}}rn Franke and
Grigori Fursin and
Michael F. P. O'Boyle and
John Thomson and
Marc Toussaint and
Christopher K. I. Williams},
title = {Using Machine Learning to Focus Iterative Optimization},
booktitle = {Fourth {IEEE/ACM} International Symposium on Code Generation and Optimization
{(CGO} 2006), 26-29 March 2006, New York, New York, {USA}},
pages = {295--305},
publisher = {{IEEE} Computer Society},
year = {2006},
url = {https://doi.org/10.1109/CGO.2006.37},
doi = {10.1109/CGO.2006.37},
timestamp = {Thu, 23 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cgo/AgakovBCFFOTTW06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BonillaWACTO06,
author = {Edwin V. Bonilla and
Christopher K. I. Williams and
Felix V. Agakov and
John Cavazos and
John Thomson and
Michael F. P. O'Boyle},
editor = {William W. Cohen and
Andrew W. Moore},
title = {Predictive search distributions},
booktitle = {Machine Learning, Proceedings of the Twenty-Third International Conference
{(ICML} 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006},
series = {{ACM} International Conference Proceeding Series},
volume = {148},
pages = {121--128},
publisher = {{ACM}},
year = {2006},
url = {https://doi.org/10.1145/1143844.1143860},
doi = {10.1145/1143844.1143860},
timestamp = {Tue, 19 Nov 2019 09:25:06 +0100},
biburl = {https://dblp.org/rec/conf/icml/BonillaWACTO06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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