Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks

Bayesian optimization (BO) is a powerful approach for optimizing black-box, expensive-to-evaluate functions. To enable a flexible trade-off between the cost and accuracy, many applications allow the function to be evaluated at different fidelities.