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stat.ML2022
Correcting Model Bias with Sparse Implicit Processes
Simón Rodríguez Santana, Luis A. Ortega, Daniel Hernández-Lobato +1
Model selection in machine learning (ML) is a crucial part of the Bayesian learning procedure. Model choice may impose strong biases on the resulting predictions, which can hinder…
stat.ML2014★ 19 cited
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting +2
The learning with privileged information setting has recently attracted a lot of attention within the machine learning community, as it allows the integration of additional knowled…