Foundations of Bayesian Learning from Synthetic Data. - Harrison Wilde; Jack Jewson; Sebastian J. Vollmer; Chris C. Holmes (AISTATS, 2021)

Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale. - Sahra Ghalebikesabi; Harrison Wilde; Jack Jewson; Arnaud Doucet; Sebastian J. Vollmer; Chris C. Holmes (CoRR, 2021)

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. - Oscar Giles; Kasra Hosseini; Grigorios Mingas; Oliver Strickson; Louise Bowler; Camila Rangel Smith; Harrison Wilde; Jen Ning Lim; Bilal A. Mateen; Kasun Amarasinghe; Rayid Ghani; Alison J. Heppenstall; et al. (CoRR, 2022)