Sahra Ghalebikesabi
Sahra Ghalebikesabi
PhD Candidate, University of Oxford
Verified email at - Homepage
Cited by
Cited by
Differentially private diffusion models generate useful synthetic images
S Ghalebikesabi, L Berrada, S Gowal, I Ktena, R Stanforth, J Hayes, S De, ...
arXiv preprint arXiv:2302.13861, 2023
On Locality of Local Explanation Models
S Ghalebikesabi, L Ter-Minassian, K Diaz-Ordaz, C Holmes
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness
S Ghalebikesabi, R Cornish, LJ Kelly, C Holmes
Proceedings of the 24th International Conference on Artificial Intelligence …, 2021
Mitigating Statistical Bias within Differentially Private Synthetic Data
S Ghalebikesabi, H Wilde, J Jewson, A Doucet, S Vollmer, C Holmes
Uncertainty in Artificial Intelligence, 696-705, 2022
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
VD Wild, S Ghalebikesabi, D Sejdinovic, J Knoblauch
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
AIRIVA: a deep generative model of adaptive immune repertoires
MF Pradier, N Prasad, P Chapfuwa, S Ghalebikesabi, M Ilse, ...
Machine Learning for Healthcare Conference, 588-611, 2023
Differentially Private Statistical Inference through -Divergence One Posterior Sampling
J Jewson, S Ghalebikesabi, C Holmes
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
A Quasi-Bayesian Nonparametric Density Estimator via Autoregressive Predictive Updates
S Ghalebikesabi, C Holmes, E Fong, B Lehmann
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence …, 2022
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis
F Falck, X Zhu, S Ghalebikesabi, M Kormaksson, M Vandemeulebroecke, ...
Journal of Biomedical Informatics 154, 104641, 2024
Air Gap: Protecting Privacy-Conscious Conversational Agents
E Bagdasaryan, R Yi, S Ghalebikesabi, P Kairouz, M Gruteser, S Oh, ...
arXiv preprint arXiv:2405.05175, 2024
Explainable AI for survival analysis: a median-SHAP approach
L Ter-Minassian, S Ghalebikesabi, K Diaz-Ordaz, C Holmes
arXiv preprint arXiv:2402.00072, 2024
Challenges and Opportunities of Shapley values in a Clinical Context
L Ter-Minassian, S Ghalebikesabi, K Diaz-Ordaz, C Holmes
ICML 2022 Workshop on Interpretable Machine Learning in Healthcare, 2023
A Tutorial on Model Explainability
S Ghalebikesabi
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