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Researcher profile

Daniel Hernández-Lobato

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Multi-class Gaussian Process Classification with Noisy Inputs

    2020 · arXiv (Cornell University)

    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 common in real problems, as measurements are …

  2. Scalable Gaussian Process Classification via Expectation Propagation

    2015 · arXiv (Cornell University)

    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 train these classifiers efficiently using expectation propagation. The proposed …