- Nov 13, 2025|Journal of Causal Inference
Spillover Detection for Donor Selection in Synthetic Control Models
Michael O'Riordan, Ciarán Gilligan-Lee
- Sep 11, 2025|RecSys CONSEQUENCES Workshop
Calibrated Recommendations with Contextual Bandits
Diego Feijer, Himan Abdollahpouri, Sanket Gupta, Alexander Clare, Yuxiao Wen, Todd Wasson, Maria Dimakopoulou, Zahra Nazari, Kyle Kretschman, Mounia Lalmas
- Jul 8, 2025|AISTATS
The hardness of validating observational studies with experimental data
Jake Fawkes, Michael O’Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarán Gilligan-Lee
- Apr 29, 2024|The Web Conference
Long-term off-policy evaluation and learning
Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
- Mar 23, 2023|CLeaR - Causal Learning and Reasoning
Non-parametric identifiability and sensitivity analysis of synthetic control models
Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee
- Mar 23, 2023|CLeaR - Causal Learning and Reasoning
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
Graham Van Goffrier, Lucas Maystre, Ciarán Mark Gilligan-Lee
- Mar 21, 2023|Nature Machine Intelligence
Estimating categorical counterfactuals via deep twin networks
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
- Nov 18, 2022|NeurIPS
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas