Ax and BoTorch leverage probabilistic models that make efficient use of data and are able to meaningfully quantify the costs and benefits of exploring new regions of problem space. In these cases, probabilistic models can offer significant benefits over standard deep learning methods such as neural networks, which often require large amounts of data to make accurate predictions and don’t provide good estimates of uncertainty.