SnAKe: Bayesian Optimization with Pathwise Exploration. - Jose Pablo Folch; Shiqiang Zhang; Robert M. Lee; Behrang Shafei; David Walz; Calvin Tsay; Mark van der Wilk; Ruth Misener (NeurIPS, 2022)

Gaussian Processes for Monitoring Air-Quality in Kampala. - Clara Stoddart; Lauren Shrack; Richard Sserunjogi; Usman Abdul-Ganiy; Engineer Bainomugisha; Deo Okure; Ruth Misener; Jose Pablo Folch; Ruby Sedgwick (CoRR, 2023)

Practical Path-based Bayesian Optimization. - Jose Pablo Folch; James Odgers; Shiqiang Zhang; Robert M. Lee; Behrang Shafei; David Walz; Calvin Tsay; Mark van der Wilk; Ruth Misener (CoRR, 2023)

Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. - Jose Pablo Folch; Robert M. Lee; Behrang Shafei; David Walz; Calvin Tsay; Mark van der Wilk; Ruth Misener (Comput. Chem. Eng., 2023)

Transition Constrained Bayesian Optimization via Markov Decision Processes. - Jose Pablo Folch; Calvin Tsay; Robert M. Lee; Behrang Shafei; Weronika Ormaniec; Andreas Krause 001; Mark van der Wilk; Ruth Misener; Mojmir Mutny (NeurIPS, 2024)

BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. - Toby Boyne; Jose Pablo Folch; Robert M. Lee; Behrang Shafei; Ruth Misener (CoRR, 2025)

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning. - Toby Boyne; Juan S. Campos; Becky D. Langdon; Jixiang Qing; Yilin Xie; Shiqiang Zhang; Calvin Tsay; Ruth Misener; Daniel W. Davies; Kim E. Jelfs; Sarah Boyall; Thomas M. Dixon; et al. (CoRR, 2025)