19 citations · 34 across the 9 of their papers we have counts for
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cs.NE2018★ 2 cited
Neural Generative Models for Global Optimization with Gradients
Louis Faury, Flavian Vasile, Clément Calauzènes +1
The aim of global optimization is to find the global optimum of arbitrary classes of functions, possibly highly multimodal ones. In this paper we focus on the subproblem of global…
cs.LG2018
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces
Louis Faury, Flavian Vasile
Learning to optimize - the idea that we can learn from data algorithms that optimize a numerical criterion - has recently been at the heart of a growing number of research efforts.…