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2020 – today
- 2024
[j4]Shiqiang Zhang
, Robert M. Lee, Behrang Shafei, David Walz, Ruth Misener:
Dependence in constrained Bayesian optimization. Optim. Lett. 18(6): 1457-1473 (2024)- [i13]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 abs/2402.08406 (2024) - [i12]Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Random Pareto front surfaces. CoRR abs/2405.01404 (2024) - [i11]Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Scalarisation-based risk concepts for robust multi-objective optimisation. CoRR abs/2405.10221 (2024) - [i10]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 abs/2406.02352 (2024) - [i9]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:
BoFire: Bayesian Optimization Framework Intended for Real Experiments. CoRR abs/2408.05040 (2024) - 2023
- [j3]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: 108194 (2023) - [i8]Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Multi-Objective Optimization Using the R2 Utility. CoRR abs/2305.11774 (2023) - [i7]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 abs/2312.00622 (2023) - 2022
- [c2]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 - [c1]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 - [i6]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 abs/2202.00060 (2022) - [i5]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 abs/2207.00879 (2022) - [i4]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 abs/2211.06149 (2022) - 2021
- [j2]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: 107343 (2021) - [j1]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): 1103-1119 (2021) - [i3]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 abs/2111.03140 (2021) - 2020
- [i2]Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener:
ENTMOOT: A Framework for Optimization over Ensemble Tree Models. CoRR abs/2003.04774 (2020)
2010 – 2019
- 2018
- [i1]Miten Mistry, Dimitrios Letsios, Ruth Misener, Gerhard Krennrich, Robert M. Lee:
Optimization with Gradient-Boosted Trees and Risk Control. CoRR abs/1803.00952 (2018)
Coauthor Index
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