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Alexis Bellot
Alexis Bellot
DeepMind
Correu electrònic verificat a deepmind.com
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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
922020
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
662020
Conditional independence testing using generative adversarial networks
A Bellot, M van der Schaar
NeurIPS 2019, 2019
532019
Accounting for unobserved confounding in domain generalization
A Bellot, M van der Schaar
arXiv preprint arXiv:2007.10653, 2020
40*2020
Miracle: Causally-aware imputation via learning missing data mechanisms
T Kyono, Y Zhang, A Bellot, M van der Schaar
Advances in Neural Information Processing Systems 34, 23806-23817, 2021
362021
Continuous-time modeling of counterfactual outcomes using neural controlled differential equations
N Seedat, F Imrie, A Bellot, Z Qian, M van der Schaar
arXiv preprint arXiv:2206.08311, 2022
312022
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
A Bellot, K Branson, M van der Schaar
arXiv preprint arXiv:2105.02522, 2021
26*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
232021
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
222020
Tree-based bayesian mixture model for competing risks
A Bellot, M Schaar
AISTATS 2018, 910-918, 2018
192018
Multitask boosting for survival analysis with competing risks
A Bellot, M van der Schaar
NeurIPS 2018 31, 1390-1399, 2018
192018
Policy Analysis using Synthetic Controls in Continuous-Time
A Bellot, M van der Schaar
ICML 2021, 2021
182021
Boosted trees for risk prognosis
A Bellot, M van der Schaar
Machine Learning for Healthcare Conference, 2-16, 2018
182018
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
152018
Boosting transfer learning with survival data from heterogeneous domains
A Bellot, M van der Schaar
AISTATS 2019, 57-65, 2019
122019
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
102020
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage
A Bellot, A Dhir, G Prando
arXiv preprint arXiv:2205.14692, 2022
82022
Deconfounded score method: Scoring DAGs with dense unobserved confounding
A Bellot, M van der Schaar
arXiv preprint arXiv:2103.15106, 2021
72021
Scores for learning discrete causal graphs with unobserved confounders
A Bellot, J Zhang, E Bareinboim
Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11043 …, 2024
52024
Continual causality: A retrospective of the inaugural aaai-23 bridge program
M Mundt, KW Cooper, DS Dhami, A Ribeiro, JS Smith, A Bellot, T Hayes
AAAI Bridge Program on Continual Causality, 1-10, 2023
42023
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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