Meta-learning for sample-efficient Bayesian optimisation of fed-batch processes

ArXi:2605.05382v1 Announce Type: cross The optimisation of fed-batch (bio)chemical process recipes is subject to inherent, underlying, and unmeasurable fluctuations across batches, whose trajectories are difficult to model and costly to measure. Bayesian Optimisation (BayesOpt) is a powerful tool for sampling and optimisation of expensive-to-measure functions.