Author of the publication

AutoGP: Exploring the capabilities and limitations of Gaussian process models

, , , and . arXiv preprint arXiv:1610.05392, (2016)

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.

 

Other publications of authors with the same name

AutoGP: Exploring the capabilities and limitations of Gaussian process models, , , and . arXiv preprint arXiv:1610.05392, (2016)Inherently Interpretable Time Series Classification via Multiple Instance Learning., , , , , and . ICLR, OpenReview.net, (2024)Inherently Interpretable Time Series Classification via Multiple Instance Learning., , , , , and . CoRR, (2023)Entropic Trace Estimates for Log Determinants., , , , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 323-338. Springer, (2017)Random Feature Expansions for Deep Gaussian Processes., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 884-893. PMLR, (2017)Deep Gaussian Processes for Multi-fidelity Modeling., , , , and . CoRR, (2019)AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models., , , and . UAI, AUAI Press, (2017)Bayesian Inference of Log Determinants., , , , and . UAI, AUAI Press, (2017)Preconditioning Kernel Matrices, , , and . (2016)cite arxiv:1602.06693.Low-Count Time Series Anomaly Detection., , , , and . MLSP, page 1-6. IEEE, (2023)