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stat.ML2017★ 7 cited
Computing the quality of the Laplace approximation
Guillaume P. Dehaene
Bayesian inference requires approximation methods to become computable, but for most of them it is impossible to quantify how close the approximation is to the true posterior. In t…
stat.ML2016★ 1 cited
Expectation Propagation performs a smoothed gradient descent
Guillaume P. Dehaene
Bayesian inference is a popular method to build learning algorithms but it is hampered by the fact that its key object, the posterior probability distribution, is often uncomputabl…