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In this video, we take a look at Successive Halving, which is an extension of random search to make it more efficient, as well as Hyperband, which is an extension of Successive Halving. Both methods can be used for finding good hyperparameters (and algorithms) for a machine learning problem.
Original Successive Halving paper: arxiv.org/pdf/1502.07943.pdf
Original Hyperband paper: arxiv.org/pdf/1603.06560.pdf
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