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Found 2 papers, 1 papers with code
Interpolating between sampling and variational inference with infinite stochastic mixtures
This work takes a step towards a highly flexible yet simple family of inference methods that combines the complementary strengths of sampling and VI.
An improved estimator of Variance Explained in the presence of noise
A crucial part of developing mathematical models of how the brain works is the quantification of their success.
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