All Publications

Title Author Year Publication type
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders Ioana Bica; Ahmed Alaa; Mihaela van der Schaar 2020 ICML
From real‐world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges Ioana Bica; Ahmed Alaa; Craig Lambert; Mihaela van der Schaar 2020 Clinical Pharmacology and Therapeutics
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes Zhaozhi Qian; Ahmed Alaa; Mihaela van der Schaar 2020 NeurIPS
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica; Ahmed Alaa; James Jordon; Mihaela van der Schaar 2020 ICLR
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes Zhaozhi Qian; Ahmed Alaa; Alexis Bellot; Jem Rashbass; Mihaela van der Schaar 2020 AISTATS
Ethnicity and outcomes of COVID-19 patients in England Ahmed Alaa; Zhaozhi Qian; Jem Rashbass; Keith Gomes Pinto; Jonathan Benger; Mihaela van der Schaar 2020 NHS Digital
Opportunities for machine learning to transform care for people with cystic fibrosis Mahed Abroshan; Ahmed Alaa; Oli Rayner; Mihaela van der Schaar 2020 Journal of Cystic Fibrosis
Lifelong Bayesian Optimization Yao Zhang; James Jordon; Ahmed Alaa; Mihaela van der Schaar 2019 Preprint
Validating Causal Inference Models via Influence Functions Ahmed Alaa; Mihaela van der Schaar 2019 ICML
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants Ahmed Alaa; Thomas Bolton; Emanuele Di Angelantonio; James HF Rudd; Mihaela van der Schaar 2019 PLOS ONE
Attentive state-space modeling of disease progression Ahmed Alaa; Mihaela van der Schaar 2019 NeurIPS
Demystifying Black-box Models with Symbolic Metamodels Ahmed Alaa; Mihaela van der Schaar 2019 NeurIPS
Temporal Quilting for Survival Analysis Changhee Lee; William R Zame; Ahmed Alaa; Mihaela van der Schaar 2019 AISTATS
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa; Mihaela van der Schaar 2018 IEEE Journal of Selected Topics in Signal Processing
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference Ahmed Alaa; Mihaela van der Schaar 2018 Journal of Machine Learning Research (JMLR)

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