(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
Link: https://us06web.zoom.us/j/87380098143
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!
Get in touch
We will happily guide you through the emerging space of data-driven material discovery. We look forward to learn from your experience and problem space.