| Multi-class Gaussian Process Classification with Noisy Inputs C Villacampa-Calvo, B Zaldivar, EC Garrido-Merchán, ... Journal of Machine Learning Research 22, 1-52, 2020 | 24 | 2020 |
| Scalable multi-class Gaussian process classification using expectation propagation C Villacampa-Calvo, D Hernández-Lobato Proceedings of the 34th International Conference on Machine Learning 70 …, 2017 | 23 | 2017 |
| Alpha divergence minimization in multi-class Gaussian process classification C Villacampa-Calvo, D Hernandez-Lobato Neurocomputing 378, 210-227, 2020 | 10 | 2020 |
| Deep Gaussian Processes Using Expectation Propagation and Monte Carlo Methods G Hernández-Muñoz, C Villacampa-Calvo, D Hernández-Lobato Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 7 | 2020 |
| Input Dependent Sparse Gaussian Processes B Jafrasteh, C Villacampa-Calvo, D Hernández-Lobato International Conference on Machine Learning 162, 9739-9759, 2022 | 3 | 2022 |
| Alpha-divergence minimization for deep Gaussian processes C Villacampa-Calvo, G Hernández-Muñoz, D Hernández-Lobato International Journal of Approximate Reasoning, 2022 | | 2022 |
| Advanced machine learning methods based on Gaussian processes C Villacampa Calvo | | 2022 |
| Procesos Gaussianos para problemas de clasificación multiclase en conjuntos de datos grandes C Villacampa Calvo | | 2017 |
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridVerifierad e-postadress på uam.es
