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Tagged with learning-theory oc.optimization-and-control
3
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2
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347
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Is it possible to “solve” iterative (convex/non-convex) optimization problems via learning (one-shot)?
I posted a following question in MSE, but I think it should be posted here in MO. Since I don't know how to transfer the post from MSE to MO, I have pasted the question below. Thank you in advance and ...
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4
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Minimize the variance of a Boltzmann distribution
N.B.: Sorry for cross-posting from https://stats.stackexchange.com/posts/347804/edit (I realized it was the wrong venue for the question, but couldn't find an easy way to transfer the question here).
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Determining when specific gradient descent converges to singular or critical points
In my research on neural networks and learning theory I have recently come across the following problem dealing with gradient descent:
We consider a given column vector $ x=[x_1,x_2,...,x_{d}]^T \...
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