Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization JP Folch, RM Lee, B Shafei, D Walz, C Tsay, M van der Wilk, R Misener Computers & Chemical Engineering 172, 108194, 2023 | 29 | 2023 |
SnAKe: Bayesian optimization with pathwise exploration JP Folch, S Zhang, R Lee, B Shafei, D Walz, C Tsay, M van der Wilk, ... Advances in Neural Information Processing Systems 35, 35226-35239, 2022 | 18 | 2022 |
Transition Constrained Bayesian Optimization via Markov Decision Processes JP Folch, C Tsay, RM Lee, B Shafei, W Ormaniec, A Krause, ... arXiv preprint arXiv:2402.08406, 2024 | 3 | 2024 |
Practical Path-based Bayesian Optimization JP Folch, J Odgers, S Zhang, RM Lee, B Shafei, D Walz, C Tsay, ... NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023 | 3 | 2023 |
Gaussian Processes for Monitoring Air-Quality in Kampala C Stoddart, L Shrack, R Sserunjogi, U Abdul-Ganiy, E Bainomugisha, ... NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023 | | 2023 |
Design of Flow Chemistry Experiments Using Batch Bayesian Optimization JP Folch, C Tsay, M van der Wilk, B Shafei, D Walz, A Niederle, R Misener 2021 AIChE Annual Meeting, 2021 | | 2021 |