“…Bayesian optimisation is already being utilised to make decisions in high-stakes applications such as drug discovery [1,2,3,4,5], materials discovery [6,7,8], robotics [9], sensor placement [10] and tissue engineering [11]. In these problems heteroscedastic or input-dependent noise is rarely accounted for and the assumption of homoscedastic noise is often inappropriate.…”