Wade, Sara

7 publications

JMLR 2025 Mixtures of Gaussian Process Experts with SMC^2 Teemu Härkönen, Sara Wade, Kody Law, Lassi Roininen

ECML-PKDD 2025 Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks Alisa Sheinkman, Sara Wade

MLJ 2024 Fast Deep Mixtures of Gaussian Process Experts Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin

ECML-PKDD 2023 Leveraging Variational Autoencoders for Multiple Data Imputation Breeshey Roskams-Hieter, Jude Wells, Sara Wade

MLJ 2021 Pseudo-Marginal Bayesian Inference for Gaussian Process Latent Variable Models Charles W. L. Gadd, Sara Wade, Akeel A. Shah

AISTATS 2020 Enriched Mixtures of Generalised Gaussian Process Experts Charles Gadd, Sara Wade, Alexis Boukouvalas

JMLR 2014 Improving Prediction from Dirichlet Process Mixtures via Enrichment Sara Wade, David B. Dunson, Sonia Petrone, Lorenzo Trippa