June 11, 2024, 4:47 a.m. | Agustinus Kristiadi, Felix Strieth-Kalthoff, Sriram Ganapathi Subramanian, Vincent Fortuin, Pascal Poupart, Geoff Pleiss

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.06459v1 Announce Type: new
Abstract: Bayesian optimization (BO) is an integral part of automated scientific discovery -- the so-called self-driving lab -- where human inputs are ideally minimal or at least non-blocking. However, scientists often have strong intuition, and thus human feedback is still useful. Nevertheless, prior works in enhancing BO with expert feedback, such as by incorporating it in an offline or online but blocking (arrives at each BO iteration) manner, are incompatible with the spirit of self-driving labs. …

abstract arxiv asynchronous automated bayesian blocking cs.lg discovery driving expert feedback however human human feedback inputs integral intermittent intuition lab least optimization part prior scientific scientific discovery scientists self-driving self-driving lab type

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