Robert M. Lee

According to our database, Robert M. Lee authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dependence in constrained Bayesian optimization.

Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Ruth Misener

Optim. Lett., July, 2024

BoFire: Bayesian Optimization Framework Intended for Real Experiments.

Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Wagner Steuer Costa, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, David Walz, Niklas Wulkow, Behrang Shafei

CoRR, 2024

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization.

Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

CoRR, 2024

Scalarisation-based risk concepts for robust multi-objective optimisation.

Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

CoRR, 2024

Random Pareto front surfaces.

Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

CoRR, 2024

Transition Constrained Bayesian Optimization via Markov Decision Processes.

Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmir Mutny

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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., April, 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

Multi-Objective Optimization Using the R2 Utility.

Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

CoRR, 2023

2022

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces.

Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded.

Miten Mistry, Dimitrios Letsios, Gerhard Krennrich, Robert M. Lee, Ruth Misener

INFORMS J. Comput., 2021

Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles.

Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Tom Tranter, Ruth Misener

CoRR, 2021

ENTMOOT: A framework for optimization over ensemble tree models.

Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener

Comput. Chem. Eng., 2021

2018

Optimization with Gradient-Boosted Trees and Risk Control.

Miten Mistry, Dimitrios Letsios, Ruth Misener, Gerhard Krennrich, Robert M. Lee

CoRR, 2018