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This repository has been archived by the owner on Apr 12, 2022. It is now read-only.
Hi, in Class BayesianLinear, the weight is sampled from a unimodal Gaussian distribution
self.weight = Gaussian(self.weight_mu, self.weight_rho)
, and the prior of weight is sampled from a mixture Gaussian
self.weight_prior = ScaleMixtureGaussian(PI, SIGMA_1, SIGMA_2)
But is it possible to use a single Gaussian distribution to approximate mixture Gaussian distribution theoretically? It seems meaningless...
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