Joaquin Quinonero Candela and Carl Edward Rasmussen. A unifying view of sparse approximate Gaussian process regression. The Journal of Machine Learning Research, 6:1939-1959, 2005.
Jakob Gulddahl Rasmussen. Temporal point processes: the conditional intensity function. arXiv preprint arXiv:1806.00221, 2011.
James Robins. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect. *Mathematical Modelling*, 7 (9-12):1393-1512, 1986.
James M Robins. Semantics of causal DAG models and the identification of direct and indirect effects. Oxford Statistical Science Series, pages 70-82, 2003.
James M Robins and Sander Greenland. Identifiability and exchangeability for direct and indirect effects. Epidemiology, 3(2):143-155, 1992.
James M Robins and Thomas S Richardson. Alternative graphical causal models and the identification of direct effects. Causality and Psychopathology: Finding the Determinants of Disorders and Their Cures, 84:103-158, 2010.
James M Robins, Miguel Angel Hernan, and Babette Brumback. Marginal structural models and causal inference in epidemiology. *Epidemiology*, pages 550–560, 2000a.
James M Robins, Andrea Rotnitzky, and Daniel O Scharfstein. Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models. In Statistical models in epidemiology, the environment, and clinical trials, pages 1-94. Springer, 2000b.
James M Robins, Thomas S Richardson, and Ilya Shpitser. An interventionist approach to mediation analysis. In Probabilistic and Causal Inference: The Works of Judea Pearl, pages 713-764. Association for Computing Machinery, 2022.
Robert Rutledge. The mini-gastric bypass: experience with the first 1,274 cases. Obesity surgery, 11 (3):276-280, 2001.
Tuure Saarinen, Sanna Merilainen, Vesa Koivukangas, Kirsi Hannele Pietilainen, and Anne Juuti. Prospective randomized controlled trial comparing the efficacy and safety of Roux-en-Y gastric bypass and one-anastomosis gastric bypass (the RYSA trial): trial protocol and interim analysis. *Trials*, 20(1):1-10, 2019.
Mohammed Saeed, Mauricio Villarroel, Andrew T Reisner, Gari Clifford, Li-Wei Lehman, George Moody, Thomas Heldt, Tin H Kyaw, Benjamin Moody, and Roger G Mark. Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): a public-access intensive care unit database. Critical Care Medicine, 39(5):952, 2011.
Peter Schulam and Suchi Saria. Reliable decision support using counterfactual models. In Advances in Neural Information Processing Systems (NeurIPS), 2017.
Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, and Mihaela van der Schaar. Continuous-time modeling of counterfactual outcomes using neural controlled differential equations. In International Conference on Machine Learning (ICML), 2022.
Hossein Soleimani, Adarsh Subbaswamy, and Sushi Saria. Treatment-response models for counterfactual reasoning with continuous-time, continuous-valued interventions. In Uncertainty in Artificial Intelligence (UAI), 2017.
Eric J Tchetgen Tchetgen and Ilya Shpitser. Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness, and sensitivity analysis. Annals of Statistics, 40(3):1816, 2012.
Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer, et al. Applications of machine learning in drug discovery and development. Nature Reviews Drug Discovery, 18(6):463-477, 2019.
Tyler J VanderWeele. Marginal structural models for the estimation of direct and indirect effects. Epidemiology, 20(1):18-26, 2009.