All Publications

Title Author Year Publication type
Prognostication and risk factors for cystic fibrosis via automated machine learning Ahmed Alaa; Mihaela van der Schaar 2018 Nature Scientific Reports
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design Ahmed Alaa; Mihaela van der Schaar 2018 ICML
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks Bryan Lim; Ahmed Alaa; Mihaela van der Schaar 2018 NeurIPS
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation Jinsung Yoon; William R Zame; Amitava Banerjee; Martin Cadeiras; Ahmed Alaa; Mihaela van der Schaar 2018 PLOS ONE
A Micro-foundation of Social Capital in Evolving Social Networks Ahmed Alaa; Kartik Ahuja; Mihaela van der Schaar 2018 IEEE Transactions on Network Science and Engineering
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa; Mihaela van der Schaar 2018 ICML
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes Ahmed Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar 2018 IEEE Transactions on Biomedical Engineering
Deep multi-task gaussian processes for survival analysis with competing risks Ahmed Alaa; Mihaela van der Schaar 2017 NeurIPS
Personalized Donor-Recipient Matching for Organ Transplantation Jinsung Yoon; Ahmed Alaa; Martin Cadeiras; Mihaela van der Schaar 2017 AAAI
Deep Counterfactual Networks with Propensity-Dropout Ahmed Alaa; Michael Weisz; Mihaela van der Schaar 2017 ICML Workshop on Principled Approaches to Deep Learning
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis Ahmed Alaa; Scott Hu; Mihaela van der Schaar 2017 ICML
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa; Mihaela van der Schaar 2017 NeurIPS
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition Ahmed Alaa; Mihaela van der Schaar 2016 NeurIPS
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data Ahmed Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar 2016 NIPS Workshop on Machine Learning for Health
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts Ahmed Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar 2016 ICML Workshop on Computational Frameworks for Personalization