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stat.ML2024
Alpha Entropy Search for New Information-based Bayesian Optimization
Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Bayesian optimization (BO) methods based on information theory have obtained state-of-the-art results in several tasks. These techniques heavily rely on the Kullback-Leibler (KL) d…
stat.ML2024
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Luis A. Ortega, Simón RodrÃguez Santana, Daniel Hernández-Lobato
The Linearized Laplace Approximation (LLA) has been recently used to perform uncertainty estimation on the predictions of pre-trained deep neural networks (DNNs). However, its wide…