( en | de | ru )

 

Disambiguation of "Hernández-Lobato, José Miguel"

Author of the publication

copydeleteadd this publication to your clipboard
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning.

, , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1192-1201. PMLR, (2018)

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.

José Hernández Rivera

José Hernández-Richter

José Luis Hernández-López

José Roberto Flores Hernández

José Rafael Hernández Arias

 

Other publications of authors with the same name

Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis., and . ICANN (2), volume 4132 of Lecture Notes in Computer Science, page 691-700. Springer, (2006)A Probabilistic Model for Dirty Multi-task Feature Selection., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1073-1082. JMLR.org, (2015)Dynamic Covariance Models for Multivariate Financial Time Series., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 558-566. JMLR.org, (2013)Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1861-1869. JMLR.org, (2015)Generating Molecules via Chemical Reactions., , , , and . DGS@ICLR, OpenReview.net, (2019)Deterministic Variational Inference for Robust Bayesian Neural Networks., , , , , and . ICLR, OpenReview.net, (2019)Deep Gaussian Processes for Regression using Approximate Expectation Propagation, , , , and . (2016)cite arxiv:1602.04133.Expectation Propagation for Bayesian Multi-task Feature Selection., , , and . ECML/PKDD (1), volume 6321 of Lecture Notes in Computer Science, page 522-537. Springer, (2010)Variational Depth Search in ResNets., , and . CoRR, (2020)Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images., , , and . CoRR, (2023)