Search Results for author: Alma Rahat

Found 4 papers, 2 papers with code

Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature

1 code implementation15 Jun 2022 Alma Rahat, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger, Kaisa Miettinen

Using the predictive densities, we can compute the expected hypervolume improvement (EHVI) due to a solution.

What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?

no code implementations10 Apr 2021 Clym Stock-Williams, Tinkle Chugh, Alma Rahat, Wei Yu

Performing multi-objective Bayesian optimisation by scalarising the objectives avoids the computation of expensive multi-dimensional integral-based acquisition functions, instead of allowing one-dimensional standard acquisition functions\textemdash such as Expected Improvement\textemdash to be applied.

Bayesian Optimisation

On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints

1 code implementation23 Apr 2020 Alma Rahat, Michael Wood

We are often interested in identifying the feasible subset of a decision space under multiple constraints to permit effective design exploration.

Active Learning Gaussian Processes

Cannot find the paper you are looking for? You can Submit a new open access paper.