Comments (6)
I'm going to switch to gradient descent for updating G.
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I don't see how that is possible. Can you make the SVD of M^t M and see what the singular values are?
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same plot with logarithmic x-axis only:
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A tiny regularization would fix this. Try that too.
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Yes, it works.
Ross pointed out that we can accelerate it significantly by bfgs optimizer since we can compute the gradient of the likelihood w.r.t G and give it to the optimizer.
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