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Variational Multinomial Logit Gaussian Process

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Figure

Table 1: Existing works in multi-class Gaussian processes and their different aspects
Table 3: Results with the usqexpard covariance function (44) on inputs and with i.i.d
Figure 1: The quality of the lower bound on marginal likelihood for the iris data set by fixingthe ARD hyper-parameters to those estimated for MF-MNP-θ and then increasing theprior variance
Figure 2: Paired comparisons of the marginal likelihood between five models of prior correlationsKc between the latent functions: M1 gives i.i.d
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