Robert M. Lee - RankMe

26 papers A* 4Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. ICML Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener
2025	J	`jnl`	BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. CoRR Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener
2025	J	`jnl`	BoFire: Bayesian Optimization Framework Intended for Real Experiments. J. Mach. Learn. Res. 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, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, Wagner Steuer Costa, David Walz, Niklas Wulkow, Behrang Shafei
2025	J	`jnl`	Multiobjective Optimization Using the R2 Utility. SIAM Rev. Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2025	J	`jnl`	Scalarisation-based risk concepts for robust multi-objective optimisation. Eur. J. Oper. Res. Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2025	J	`jnl`	System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. Trans. Mach. Learn. Res. Jixiang Qing, Rebecca D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener
2024	J	`jnl`	BoFire: Bayesian Optimization Framework Intended for Real Experiments. CoRR 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
2024	J	`jnl`	Dependence in constrained Bayesian optimization. Optim. Lett. Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Ruth Misener
2024	J	`jnl`	Random Pareto front surfaces. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	Scalarisation-based risk concepts for robust multi-objective optimisation. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. CoRR Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener
2024	A*	`conf`	Transition Constrained Bayesian Optimization via Markov Decision Processes. NeurIPS Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmir Mutny
2024	J	`jnl`	Transition Constrained Bayesian Optimization via Markov Decision Processes. CoRR Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
2023	J	`jnl`	Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. Comput. Chem. Eng. Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2023	J	`jnl`	Multi-Objective Optimization Using the R2 Utility. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2023	J	`jnl`	Practical Path-based Bayesian Optimization. CoRR Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	J	`jnl`	Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization. CoRR Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	A*	`conf`	SnAKe: Bayesian Optimization with Pathwise Exploration. NeurIPS Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	J	`jnl`	SnAKe: Bayesian Optimization with Pathwise Exploration. CoRR Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	A*	`conf`	Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. NeurIPS Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
2022	J	`jnl`	Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. CoRR Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
2021	J	`jnl`	ENTMOOT: A framework for optimization over ensemble tree models. Comput. Chem. Eng. Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
2021	J	`jnl`	Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded. INFORMS J. Comput. Miten Mistry, Dimitrios Letsios, Gerhard Krennrich, Robert M. Lee, Ruth Misener
2021	J	`jnl`	Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles. CoRR Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Tom Tranter, Ruth Misener
2020	J	`jnl`	ENTMOOT: A Framework for Optimization over Ensemble Tree Models. CoRR Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener
2018	J	`jnl`	Optimization with Gradient-Boosted Trees and Risk Control. CoRR Miten Mistry, Dimitrios Letsios, Ruth Misener, Gerhard Krennrich, Robert M. Lee