… In a recent related work [34], the multi-fidelity tree-search … black-box function are not noisy.
In contrast we study the problem of multi-fidelity black box optimization in the presence of noise…

… In a recent related work [34], the multi-fidelity tree-search … black-box function are not noisy.
In contrast we study the problem of multi-fidelity black box optimization in the presence of noise…

… formulation of (Sen, Kandasamy, and Shakkottai 2018, 2019), we consider the mean of the
multifidelity query, fz(x), as biased, and progressively smaller bias can be obtained but with …

… and noise level. In summary, the only mode of interaction with black-box functions is querying
… existence proof that black-box methods can outperform multi-fidelity methods for very high …

… with the purpose of optimizing the black-box function. Many off-the-… The goal is to maximize
a target function using noisy evalua… probability of the multi-fidelity query proposals to derive a …

… that f(x) cannot be observed directly but rather through noisy observation y = f(x) + ϵ, … two
methods for solving this black-box optimization problem in more detail: Bayesian optimization …

… the knowledge of the range of the noise b. Multi-fidelity optimization is a well studied
setting. Here, we address online … Noisy Blackbox Optimization with Multi-Fidelity Queries: A …

… We will select the point to query using a OO based method, which allows the hybrid …
Black-box optimization of noisy functions with unknown smoothness. In Advances in Neural …

… Noisy blackbox optimization using multi-fidelity queries: A tree search approach. In The
22nd international conference on artificial intelligence and statistics, pages 2096–2105. PMLR, …

… Random search is an example of a black-box approach that … the first deep kernel GP for
multi-fidelity HPO that is able to … In practice, this observation is noisy such that we observe in …