A discrete version of CMA-ES

27 Dec 2018Eric BenhamouJamal AtifRida Laraki

Modern machine learning uses more and more advanced optimization techniques to find optimal hyper parameters. Whenever the objective function is non-convex, non continuous and with potentially multiple local minima, standard gradient descent optimization methods fail... (read more)

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