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Contact
Huxley 379
Department of Computing
South Kensington Campus
Imperial College London SW7 2AZ
r.misener@imperial.ac.uk +44 (0) 20759 48315
Related Projects
Related Publications
2025 (1)
- R. Sedgwick, J. P. Goertz, M. M. Stevens, R. Misener, M. van der Wilk, Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays, Biotechnology and Bioengineering, volume 122, pp.189–210, 2025
2024 (4)
- J. P. Folch, C. Tsay, R. M. Lee, B. Shafei, W. Ormaniec, A. Krause, M. van der Wilk, R. Misener, M. Mutný, Transition Constrained Bayesian Optimization via Markov Decision Processes, Advances in Neural Information Processing Systems (NeurIPS), 2024
- C. Hojny, S. Zhang, J. S. Campos, R. Misener, Verifying message-passing neural networks via topology-based bounds tightening, International Conference on Machine Learning (ICML), 2024
- S. Zhang, J. S. Campos, C. Feldmann, F. Sandfort, M. Mathea, R. Misener, Augmenting optimization-based molecular design with graph neural networks, Computers \& Chemical Engineering, volume 186, pp.108684, 2024
- S. Zhang, R. M. Lee, B. Shafei, D. Walz, R. Misener, Dependence in constrained Bayesian optimization: When do we need it and how does it help?, Optimization Letters, volume 18, issue 6, pp.1457–1473, 2024
2023 (4)
- S. Zhang, J. S. Campos, C. Feldmann, D. Walz, F. Sandfort, M. Mathea, C. Tsay, R. Misener, Optimizing over trained GNNs via symmetry breaking, Advances in Neural Information Processing Systems (NeurIPS), 2023
- R. Misener, L. Biegler, Formulating data-driven surrogate models for process optimization, Computers \& Chemical Engineering, volume 179, pp.108411, 2023
- J. P. Folch, R. M. Lee, B. Shafei, D. Walz, C. Tsay, M. van der Wilk, R. Misener, Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization, Computers \& Chemical Engineering, volume 172, pp.108194, 2023
- B. Addis, C. Castel, A. Macali, R. Misener, V. Piccialli, Data augmentation driven by optimization for membrane separation process synthesis, Computers \& Chemical Engineering, pp.108342, 2023
2022 (3)
- F. Ceccon, J. Jalving, J. Haddad, A. Thebelt, C. Tsay, C. D. Laird, R. Misener, OMLT: Optimization & Machine Learning Toolkit, Journal of Machine Learning Research, volume 23, pp.1–8, 2022
- J. P. Folch, S. Zhang, R. M. Lee, B. Shafei, D. Walz, C. Tsay, M. van der Wilk, R. Misener, SnAKe: Bayesian Optimization with Pathwise Exploration, Advances in Neural Information Processing Systems (NeurIPS), 2022
- A. Thebelt, C. Tsay, R. M. Lee, N. Sudermann-Merx, D. Walz, B. Shafei, R. Misener, Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces, Advances in Neural Information Processing Systems (NeurIPS), 2022