(November Series #4) Long-run Behaviour of Multi-fidelity Bayesian Optimisation
Recording is available on Youtube now:
Gbetondji Dovonon will discuss our recent NeurIPS workshop paper on "Long-run Behaviour of Multi-fidelity Bayesian Optimisation".
Time: Nov 28, 2023 02:00 PM London
Abstract: Multi-fidelity Bayesian Optimisation (MFBO) has been shown to generally converge faster than single-fidelity Bayesian Optimisation (SFBO). Inspired by recent benchmark papers, we are investigating the long-run behaviour of MFBO, based on observations in the literature that it might under-perform in certain scenarios. An under-performance of MBFO in the long-run could significantly undermine its application to many research tasks, especially when we are not able to identify when the under-performance begins. We create a simple benchmark study, showcase empirical results and discuss scenarios, concluding with inconclusive results.
The OptStore link for the MFBO OptApp will be available here early 2024!
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