Sahra Ghalebikesabi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Density Estimation

Diffusion Models

Conjugate Priors

Conversational Agent

Top Venues

Publications

Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
Air Gap: Protecting Privacy-Conscious Conversational Agents. CoRR (2024)
Fabian Falck, Xuan Zhu, Sahra Ghalebikesabi, Matthias Kormaksson, Marc Vandemeulebroecke, Cong Zhang, Ruvie Martin, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Luis A. Santos, Chengeng Tian, Yu Pang, Aimee Readie, Gregory Ligozio, Kunal K. Gandhi, Thomas E. Nichols, Ann-Marie Mallon, Luke J. Kelly, David Ohlssen, George Nicholson
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis. J. Biomed. Informatics 154 (2024)
Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris C. Holmes
Explainable AI for survival analysis: a median-SHAP approach. CoRR (2024)
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR (2023)
Jack Jewson, Sahra Ghalebikesabi, Chris C. Holmes
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling. NeurIPS (2023)
Jack Jewson, Sahra Ghalebikesabi, Chris C. Holmes
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling. CoRR (2023)
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates. UAI (2023)
Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods. NeurIPS (2023)
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Max Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier Gonzalez, Julia Greissl, Edward Meeds
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. CoRR (2023)
Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods. CoRR (2023)
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. MLHC (2023)
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
Density Estimation with Autoregressive Bayesian Predictives. CoRR (2022)
Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
Mitigating statistical bias within differentially private synthetic data. UAI (2022)
Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla Diaz-Ordaz, Chris C. Holmes
On Locality of Local Explanation Models. CoRR (2021)
Sahra Ghalebikesabi, Rob Cornish, Luke J. Kelly, Chris C. Holmes
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness. CoRR (2021)
Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C. Holmes
On Locality of Local Explanation Models. NeurIPS (2021)
Sahra Ghalebikesabi, Rob Cornish, Chris C. Holmes, Luke J. Kelly
Deep Generative Missingness Pattern-Set Mixture Models. AISTATS (2021)
Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale. CoRR (2021)