295 citations · 931 across the 14 of their papers we have counts for
3 papers · 1 filter
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Amar Shah +1
We present PESMO, a Bayesian method for identifying the Pareto set of multi-objective optimization problems, when the functions are expensive to evaluate. The central idea of PESMO…
Black-box -divergence Minimization
José Miguel Hernández-Lobato, Yingzhen Li, Mark Rowland +3
Black-box alpha (BB-) is a new approximate inference method based on the minimization of -divergences. BB- scales to large datasets because it can be implemented using sto…
Scalable Gaussian Process Classification via Expectation Propagation
Daniel Hernández-Lobato, José Miguel Hernández-Lobato
Variational methods have been recently considered for scaling the training process of Gaussian process classifiers to large datasets. As an alternative, we describe here how to tra…