There is another way to condition a Markov process to be in a fixed state at a large random time. It is described in the following theorem.
In this paper, we considered non-convex optimization settings and developed efficient variants of the trust region and adaptive cubic regularization methods in which the curvature information is approximated. For all of our proposed variants, under …
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