Carlos Villacampa-Calvo

According to our database, Carlos Villacampa-Calvo authored at least 6 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Alpha-divergence minimization for deep Gaussian processes.

Carlos Villacampa-Calvo, Gonzalo Hernández-Muñoz, Daniel Hernández-Lobato

Int. J. Approx. Reason., 2022

Input Dependent Sparse Gaussian Processes.

Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernández-Lobato

Proceedings of the International Conference on Machine Learning, 2022

2021

Multi-class Gaussian Process Classification with Noisy Inputs.

Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

J. Mach. Learn. Res., 2021

2020

Alpha divergence minimization in multi-class Gaussian process classification.

Carlos Villacampa-Calvo, Daniel Hernández-Lobato

Neurocomputing, 2020

Deep Gaussian Processes Using Expectation Propagation and Monte Carlo Methods.

Gonzalo Hernández-Muñoz, Carlos Villacampa-Calvo, Daniel Hernández-Lobato

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2017

Scalable Multi-Class Gaussian Process Classification using Expectation Propagation.

Carlos Villacampa-Calvo, Daniel Hernández-Lobato

Proceedings of the 34th International Conference on Machine Learning, 2017