thchang-opt t1_j41pklt wrote
Is this along the lines of what you were thinking?
Decadz OP t1_j41w1zt wrote
Thanks for the suggestion! Brandon Amos has many great pieces of research. The linked paper is quite long, so I will need to have a more complete reading at a later date to be sure. At a glance though, this tutorial is about meta-optimization theory as opposed to what I was originally asking for which is about application of meta-optimization techniques to learning parameter initialisations + optimizers.
thchang-opt t1_j42820e wrote
I see, well for what it’s worth, here is what I can remember concerning applications:
I believe one of the motivating applications he was looking at was a control problem, where the current world state was one input and the optimization solution produced the optimal control/action to take from this state, according to some fixed problem dynamics. So he was discussing prediction of next solutions in a sequence of (I think convex) optimization problems for real-time control
Decadz OP t1_j433b12 wrote
Great, thanks for the summary!
[deleted] t1_j4332ri wrote
[deleted]
Viewing a single comment thread. View all comments