 A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABCInternational Statistical Review (ISR), 2021 |
 Fast and robust Bayesian Inference using Gaussian Processes with GPryJournal of Cosmology and Astroparticle Physics (JCAP), 2022 |
 Bayesian Active Learning with Fully Bayesian Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2022 |
 Optimality in Noisy Importance SamplingSignal Processing (Signal Process.), 2022 |
 Locally induced Gaussian processes for large-scale simulation
experimentsStatistics and computing (Stat. Comput.), 2020 |
