Robert M. Lee

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Convex Constraints

Markov Decision Process

Constrained Optimization

Top Venues

Comput. Chem. Eng.

Publications

Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
Transition Constrained Bayesian Optimization via Markov Decision Processes. CoRR (2024)
Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Ruth Misener
Dependence in constrained Bayesian optimization. Optim. Lett. 18 (6) (2024)
Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
Random Pareto front surfaces. CoRR (2024)
Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
Scalarisation-based risk concepts for robust multi-objective optimisation. CoRR (2024)
Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. CoRR (2024)
Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. Comput. Chem. Eng. 172 (2023)
Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
Multi-Objective Optimization Using the R2 Utility. CoRR (2023)
Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
Practical Path-based Bayesian Optimization. CoRR (2023)
Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
SnAKe: Bayesian Optimization with Pathwise Exploration. CoRR (2022)
Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
SnAKe: Bayesian Optimization with Pathwise Exploration. NeurIPS (2022)
Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization. CoRR (2022)
Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. NeurIPS (2022)
Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. CoRR (2022)
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
ENTMOOT: A framework for optimization over ensemble tree models. Comput. Chem. Eng. 151 (2021)
Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Tom Tranter, Ruth Misener
Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles. CoRR (2021)
Miten Mistry, Dimitrios Letsios, Gerhard Krennrich, Robert M. Lee, Ruth Misener
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded. INFORMS J. Comput. 33 (3) (2021)
Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
ENTMOOT: A Framework for Optimization over Ensemble Tree Models. CoRR (2020)
Miten Mistry, Dimitrios Letsios, Ruth Misener, Gerhard Krennrich, Robert M. Lee
Optimization with Gradient-Boosted Trees and Risk Control. CoRR (2018)