137 citations · 231 across the 8 of their papers we have counts for
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stat.ML2019
High-dimensional Bayesian optimization using low-dimensional feature spaces
Riccardo Moriconi, Marc P. Deisenroth, K. S. Sesh Kumar
Bayesian optimization (BO) is a powerful approach for seeking the global optimum of expensive black-box functions and has proven successful for fine tuning hyper-parameters of mach…
stat.ML2017★ 40 cited
The reparameterization trick for acquisition functions
James T. Wilson, Riccardo Moriconi, Frank Hutter +1
Bayesian optimization is a sample-efficient approach to solving global optimization problems. Along with a surrogate model, this approach relies on theoretically motivated value he…