Working paper, 2025
Ongoing work to develop distributionally robust optimisation algorithms for routing problems when the uncertainty is modelled via a Bayesian framework.
Recommended citation: O’Hara, P. & Damoulas, T. (2025). Bayesian Distributionally Robust Routing Problems. Working paper.
Under review at ICML, 2025
Recommended citation: Dellaporta*, C., O'Hara*, P., & Damoulas, T. (2025). Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets.
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Under review at ICML, 2025
Recommended citation: Dellaporta*, C., O'Hara*, P., & Damoulas, T. (2024). Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. arXiv preprint arXiv:2411.16829.
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NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024
Accepted for oral
Recommended citation: Dellaporta*, C., O'Hara*, P., & Damoulas, T. (2024). Distributionally Robust Optimisation with Bayesian Ambiguity Sets. In NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty.
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ATT’24: Workshop Agents in Traffic and Transportation, October 19, 2024, Santiago de Compostela, Spain, 2024
Recommended citation: O’Hara, P., Ramanujan, M. S., & Damoulas, T. (2024). Routing on Sparse Graphs with Non-metric Costs for the Prize-collecting Travelling Salesperson Problem. ATT’24: Workshop Agents in Traffic and Transportation.
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The Computer Journal, 2024
Winner of the Wilkes Award 2024, which is presented once a year to the authors of the best paper published in the volume of The Computer Journal.
Recommended citation: James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O’Hara, Oscar Giles, Neil Dhir, Mark Girolami, Theodoros Damoulas, Near Real-Time Social Distance Estimation In London, The Computer Journal, Volume 67, Issue 1, January 2024, Pages 95–109.
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NeurIPS workshop on Machine Learning in Public Health, 2020
Recommended citation: Haycock, C., Thorpe-Woods, E., Walsh, J., O'Hara, P., Giles, O., Dhir, N., and Damoulas, T. (2020). An expectation-based network scan statistic for a covid-19 early warning system. Machine Learning in Public Health workshop, Neural Information Processing Systems.
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