Publications

  • Folch, Jose Pablo, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, and Mojmír Mutný. “Transition Constrained Bayesian Optimization via Markov Decision Processes”. To appear in Neural Information Processing Systems 37 (2024). Preprint.

  • Folch, Jose Pablo, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, and Ruth Misener. “SnAKe: Bayesian Optimization with Pathwise Exploration”. Advances in Neural Information Processing Systems 35 (2022): p. 35226 - 35239. Link.

  • Folch, Jose Pablo, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, and Ruth Misener. “Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization”. Computers & Chemical Engineering 172 (2023): p.108194. Link.

  • Folch, Jose Pablo, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, and Ruth Misener. “Practical Path-based Bayesian Optimization”. NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World. Link.

  • Stoddart, Clara, Lauren Shrack, Richard Sserunjogi, Usman Abdul-Ganiy, Engineer Bainomugisha, Deo Okure, Ruth Misener, Jose Pablo Folch, and Ruby Sedgwick. “Gaussian Processes for Monitoring Air-Quality in Kampala”. NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning. Link.

My MSci Thesis, “Liar’s Dice: An Application of Neural Networks and Reinforcement Learning Methods” will not be published, however, it is available upon request.