( en | de | ru )

 

Disambiguation of "Bonilla, Edwin V."

Author of the publication

copydeleteadd this publication to your clipboard
Predictive search distributions.

, , , , , and . ICML, volume 148 of ACM International Conference Proceeding Series, page 121-128. ACM, (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Stephania Bonilla

Joseph Edwin

Pedro Urena-Bonilla

Gabriel Pelegrina Bonilla

V Geoffroy

 

Other publications of authors with the same name

Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations., , , , and . CoRR, (2020)Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27060-27074. PMLR, (2022)Transformed Distribution Matching for Missing Value Imputation., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42159-42186. PMLR, (2023)Log Gaussian Cox Process Networks., , and . CoRR, (2018)Efficient Variational Inference for Gaussian Process Regression Networks., and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 472-480. JMLR.org, (2013)Grouped Gaussian processes for solar power prediction., and . Mach. Learn., 108 (8-9): 1287-1306 (2019)Efficient Inference in Multi-task Cox Process Models., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 537-546. PMLR, (2019)Extended and Unscented Gaussian Processes., and . NIPS, page 1251-1259. (2014)Automated Variational Inference for Gaussian Process Models., and . NIPS, page 1404-1412. (2014)Decision-Theoretic Sparsification for Gaussian Process Preference Learning., , and . ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 515-530. Springer, (2013)