4 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
Gaussian Processes for Missing Value Imputation
Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López +1
Missing values are common in many real-life datasets. However, most of the current machine learning methods can not handle missing values. This means that they should be imputed be…
Improved Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints
Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
We present MESMOC+, an improved version of Max-value Entropy search for Multi-Objective Bayesian optimization with Constraints (MESMOC). MESMOC+ can be used to solve constrained mu…
Multi-class Gaussian Process Classification with Noisy Inputs
Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán +1
It is a common practice in the machine learning community to assume that the observed data are noise-free in the input attributes. Nevertheless, scenarios with input noise are comm…