Causal Inference and Individualized Treatment Effects


Principal Investigator

Students

Collaborators

Publications

  • R. Bugiardini, E. Cenko, J. Yoon, B. Ricci, D. Milicic, S. Kedev, Z. Vasiljevic, O. Manfrini, M. van der Schaar, L. Badimon, "Late PCI in STEMI: A Complex Interaction between Delay and Age," accepted for presentation in the American College of the Cardiology (ACC) - 67th Annual Scientific Session & Expo - Orlando; Journal of the American College of Cardiology, 71 (11 Supplement) A44, Mar 2018. [Link]

  • J. Yoon, J. Jordon, M. van der Schaar, "GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets," ICLR, 2018. [Link]

  • A. M. Alaa, M. van der Schaar, "Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms," Submitted, 2017. [Link]

  • B. Ricci, M. van der Schaar, J. Yoon, E. Cenko, Z. Vasiljevic, M. Dorobantu, M. Zdravkovic, S. Kedev, O. Kalpak, D. Milicic, O. Manfrini, L. Badimon, R. Bugiardini, "Machine Learning Techniques for Risk Stratification of Non-ST-Elevation Acute Coronary Syndrome: The Role of Diabetes and Age," American Heart Association Scientific Session, 2017 - Circulation, 2017; 136:A15892. [Link]

  • O. Atan, J. Jordon, M. van der Schaar, "Deep-Treat: Learning Optimal Personalized Treatments from Observational Data using Neural Networks," AAAI, 2018. [Link]

  • M. K. Ross, J. Yoon, M. van der Schaar, "Discovering Pediatric Asthma Phenotypes Based on Response to Controller Medication Using Machine Learning," accepted and to appear in Annals of the American Thoracic Society, 2017. [Link]

  • A. M. Alaa, M. van der Schaar, "Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes," NIPS, 2017. [Link]

  • O. Atan, W. R. Zame, Q. Feng, M. van der Schaar, "Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features," Submitted, 2017. [Link]

  • A. M. Alaa, M. Weisz, M. van der Schaar, "Deep Counterfactual Networks with Propensity-Dropout," ICML 2017 - Workshop on Principled Approaches to Deep Learning., 2017. [Link]

  • M. K. Ross, J. Yoon, K. Moon, M. van der Schaar, "A Personalized Approach to Asthma Control Over Time: Discovering Phenotypes Using Machine Learning," American Thoracic Society (ATS) International Conference, 2017. [Link]