Alexis Bellot
Alexis Bellot
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Learning overlapping representations for the estimation of individualized treatment effects
Y Zhang, A Bellot, M Schaar
AISTATS 2020, 1005-1014, 2020
Tree-based bayesian mixture model for competing risks
A Bellot, M Schaar
AISTATS 2018, 910-918, 2018
Accounting for unobserved confounding in domain generalization
A Bellot, M van der Schaar
A hierarchical bayesian model for personalized survival predictions
A Bellot, M Van der Schaar
IEEE journal of biomedical and health informatics 23 (1), 72-80, 2018
Multitask boosting for survival analysis with competing risks
A Bellot, M van der Schaar
NeurIPS 2018 31, 1390-1399, 2018
Predicting the risk of inpatient hypoglycemia with machine learning using electronic health records
Y Ruan, A Bellot, Z Moysova, GD Tan, A Lumb, J Davies, ...
Diabetes care 43 (7), 1504-1511, 2020
Conditional independence testing using generative adversarial networks
A Bellot, M van der Schaar
NeurIPS 2019, 2019
Boosted trees for risk prognosis
A Bellot, M van der Schaar
Machine Learning for Healthcare Conference, 2-16, 2018
Learning dynamic and personalized comorbidity networks from event data using deep diffusion processes
Z Qian, A Alaa, A Bellot, M Schaar, J Rashbass
AISTATS 2020, 3295-3305, 2020
Boosting transfer learning with survival data from heterogeneous domains
A Bellot, M van der Schaar
AISTATS 2019, 57-65, 2019
Flexible modelling of longitudinal medical data: A Bayesian nonparametric approach
A Bellot, MVD Schaar
ACM Transactions on Computing for Healthcare 1 (1), 1-15, 2020
Kernel Hypothesis Testing with Set-valued Data
A Bellot, M van der Schaar
UAI 2021, 2019
Hypothesis testing and causal inference with heterogeneous medical data
A Bellot
University of Cambridge, 2021
Consistency of mechanistic causal discovery in continuous-time using Neural ODEs
A Bellot, K Branson, M van der Schaar
arXiv preprint arXiv:2105.02522, 2021
Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably
TE Cowling, DA Cromwell, A Bellot, LD Sharples, J van der Meulen
Journal of Clinical Epidemiology 133, 43-52, 2021
Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding
A Bellot, M van der Schaar
arXiv preprint arXiv:2103.15106, 2021
Policy Analysis using Synthetic Controls in Continuous-Time
A Bellot, M van der Schaar
ICML 2021, 2021
One-year mortality of colorectal cancer patients: development and validation of a prediction model using linked national electronic data
TE Cowling, A Bellot, J Boyle, K Walker, A Kuryba, S Galbraith, ...
British Journal of Cancer 123 (10), 1474-1480, 2020
AI-based Hypothesis Testing in Individuals with CF
A Bellot, RA Floto, M van der Schaar
Pediatric Pulmonology 55, S113-S113, 2020
A Kernel Two-Sample Test with Selection Bias
A Bellot, M van der Schaar
UAI 2021, 2020
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