23 citations · 89 across the 19 of their papers we have counts for
4 papers · 1 filter
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature
Alma Rahat, Tinkle Chugh, Jonathan Fieldsend +2
Many methods for performing multi-objective optimisation of computationally expensive problems have been proposed recently. Typically, a probabilistic surrogate for each objective…
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity
Samantha Petersone, Alwin Tan, Richard Allmendinger +2
The core activity of a Private Equity (PE) firm is to invest into companies in order to provide the investors with profit, usually within 4-7 years. To invest into a company or not…
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
Claire Little, Mark Elliot, Richard Allmendinger +1
Generative Adversarial Networks (GANs) are gaining increasing attention as a means for synthesising data. So far much of this work has been applied to use cases outside of the data…
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
Safe learning and optimization deals with learning and optimization problems that avoid, as much as possible, the evaluation of non-safe input points, which are solutions, policies…