52 citations · 58 across the 4 of their papers we have counts for
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stat.ML2017★ 52 cited
Global optimization of Lipschitz functions
Cédric Malherbe, Nicolas Vayatis
The goal of the paper is to design sequential strategies which lead to efficient optimization of an unknown function under the only assumption that it has a finite Lipschitz consta…
stat.ML2016★ 5 cited
A ranking approach to global optimization
Cédric Malherbe, Nicolas Vayatis
We consider the problem of maximizing an unknown function over a compact and convex set using as few observations as possible. We observe that the optimization of the function esse…
stat.ML2015★ 1 cited
Optimization for Gaussian Processes via Chaining
Emile Contal, Cédric Malherbe, Nicolas Vayatis
In this paper, we consider the problem of stochastic optimization under a bandit feedback model. We generalize the GP-UCB algorithm [Srinivas and al., 2012] to arbitrary kernels an…