| 2025 | AISTATS | Weighted Sum of Gaussian Process Latent Variable Models. | James Odgers, Ruby Sedgwick, Chrysoula Kappatou, Ruth Misener, Sarah Filippi |
| 2025 | GECCO | Improving Deep Optimisation for the Multi-dimensional Knapsack Problem using Elastic Weight Consolidation. | Antoine Calame, Ruth Misener, Joshua D. Knowles |
| 2025 | ICML | BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. | Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener |
| 2024 | ICML | Verifying message-passing neural networks via topology-based bounds tightening. | Christopher Hojny, Shiqiang Zhang, Juan S. Campos, Ruth Misener |
| 2021 | CPAIOR | Between Steps: Intermediate Relaxations Between Big-M and Convex Hull Formulations. | Jan Kronqvist, Ruth Misener, Calvin Tsay |
| 2020 | AAAI | Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis. | Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener |
| 2019 | AAAI | Argumentation for Explainable Scheduling. | Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni |
| 2019 | COCOA | Approximating Bounded Job Start Scheduling with Application in Royal Mail Deliveries Under Uncertainty. | Jeremy T. Bradley, Dimitrios Letsios, Ruth Misener, Natasha Page |
| 2018 | ICML | Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches. | Simon Olofsson, Marc Peter Deisenroth, Ruth Misener |