Ghalebikesabi, Sahra

8 publications

TMLR 2025 Privacy Awareness for Information-Sharing Assistants: A Case-Study on Form-Filling with Contextual Integrity Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle

NeurIPS 2023 A Rigorous Link Between Deep Ensembles and (Variational) Bayesian Methods Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch

MLHC 2023 AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier Gonzalez Hernandez, Julia Greissl, Edward Meeds

NeurIPS 2023 Differentially Private Statistical Inference Through $\beta$-Divergence One Posterior Sampling Jack E Jewson, Sahra Ghalebikesabi, Chris C Holmes

UAI 2023 Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

UAI 2022 Mitigating Statistical Bias Within Differentially Private Synthetic Data Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian Vollmer, Chris Holmes

AISTATS 2021 Deep Generative Missingness Pattern-Set Mixture Models Sahra Ghalebikesabi, Rob Cornish, Chris Holmes, Luke Kelly

NeurIPS 2021 On Locality of Local Explanation Models Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C Holmes