2 citations · 2 across the 2 of their papers we have counts for
3 papers
Can Bayesian Optimization Efficiently Find a Strong Single Expert in Neural Thickets?
Nigel Bastian Cendra, Abdelhamid Ezzerg, Fernando Julio Cendra +2
Gradient-free post-training has emerged as a compelling alternative to gradient-based optimization for large language models (LLMs), but existing approaches remain costly. We ask w…
Long-run Behaviour of Multi-fidelity Bayesian Optimisation
Gbetondji J-S Dovonon, Jakob Zeitler
Multi-fidelity Bayesian Optimisation (MFBO) has been shown to generally converge faster than single-fidelity Bayesian Optimisation (SFBO) (Poloczek et al. (2017)). Inspired by rece…
Multi-fidelity Bayesian Optimisation of Syngas Fermentation Simulators
Mahdi Eskandari, Lars Puiman, Jakob Zeitler
A Bayesian optimization approach for maximizing the gas conversion rate in an industrial-scale bioreactor for syngas fermentation is presented. We have access to a high-fidelity, c…