Scalable Multi-Class Gaussian Process Classification using Expectation Propagation. - Carlos Villacampa-Calvo; Daniel Hernández-Lobato (ICML, 2017)

Deep Gaussian Processes Using Expectation Propagation and Monte Carlo Methods. - Gonzalo Hernández-Muñoz; Carlos Villacampa-Calvo; Daniel Hernández-Lobato (ECML/PKDD (3), 2020)

Alpha divergence minimization in multi-class Gaussian process classification. - Carlos Villacampa-Calvo; Daniel Hernández-Lobato (Neurocomputing, 2020)

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)

Input Dependent Sparse Gaussian Processes. - Bahram Jafrasteh; Carlos Villacampa-Calvo; Daniel Hernández-Lobato (ICML, 2022)

Alpha-divergence minimization for deep Gaussian processes. - Carlos Villacampa-Calvo; Gonzalo Hernández-Muñoz; Daniel Hernández-Lobato (Int. J. Approx. Reason., 2022)