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Found 2 papers, 1 papers with code
Variational Inference with Gaussian Score Matching
We study how GSM-VI behaves as a function of the problem dimensionality, the condition number of the target covariance matrix (when the target is Gaussian), and the degree of mismatch between the approximating and exact posterior distribution.
An online passive-aggressive algorithm for difference-of-squares classification
The model is also over-parameterized in the sense that different pairs of affine transformations can describe classifiers with the same decision boundary and confidence scores.
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