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Found 3 papers, 1 papers with code
Global optimization of Lipschitz functions
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 constant.
A ranking approach to global optimization
We consider the problem of maximizing an unknown function over a compact and convex set using as few observations as possible.
Optimization for Gaussian Processes via Chaining
In this paper, we consider the problem of stochastic optimization under a bandit feedback model.
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