Sara Wade

19 papers A 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Covariate-dependent Hierarchical Dirichlet Processes.
J. Mach. Learn. Res.
Huizi Zhang, Sara Wade, Natalia Bochkina
2025 J jnl
Mixtures of Gaussian Process Experts with SMC^2.
J. Mach. Learn. Res.
Teemu Härkönen, Sara Wade, Kody J. H. Law, Lassi Roininen
2025 J jnl
The Architecture and Evaluation of Bayesian Neural Networks.
CoRR
Alisa Sheinkman, Sara Wade
2025 — conf
Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks.
ECML/PKDD (7)
Alisa Sheinkman, Sara Wade
2024 J jnl
Fast deep mixtures of Gaussian process experts.
Mach. Learn.
Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin
2024 J jnl
Variational Bayesian Bow tie Neural Networks with Shrinkage.
CoRR
Alisa Sheinkman, Sara Wade
2023 — conf
Leveraging Variational Autoencoders for Multiple Data Imputation.
ECML/PKDD (1)
Breeshey Roskams-Hieter, Jude Wells, Sara Wade
2023 J jnl
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data.
J. Comput. Graph. Stat.
Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi
2022 J jnl
Leveraging variational autoencoders for multiple data imputation.
CoRR
Breeshey Roskams-Hieter, Jude Wells, Sara Wade
2022 J jnl
Mixtures of Gaussian Process Experts with SMC
CoRR
Teemu Härkönen, Sara Wade, Kody J. H. Law, Lassi Roininen
2021 J jnl
Machine learning in the social and health sciences.
CoRR
Anja K. Leist, Matthias Klee, Jung Hyun Kim, David H. Rehkopf, Stéphane P. A. Bordas, Graciela Muniz-Terrera, Sara Wade
2021 J jnl
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data.
CoRR
Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi
2021 J jnl
Pseudo-marginal Bayesian inference for Gaussian process latent variable models.
Mach. Learn.
Charles W. L. Gadd, Sara Wade, Akeel A. Shah
2020 A conf
Enriched mixtures of generalised Gaussian process experts.
AISTATS
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
2020 J jnl
Posterior inference for sparse hierarchical non-stationary models.
Comput. Stat. Data Anal.
Karla Monterrubio-Gómez, Lassi Roininen, Sara Wade, Theodoros Damoulas, Mark Girolami
2020 J jnl
Ultra-fast Deep Mixtures of Gaussian Process Experts.
CoRR
Clement Etienam, Kody J. H. Law, Sara Wade
2019 J jnl
Enriched Mixtures of Gaussian Process Experts.
CoRR
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
2018 J jnl
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models.
CoRR
Charles W. L. Gadd, Sara Wade, Akeel A. Shah, Dimitris Grammatopoulos
2014 J jnl
Improving prediction from dirichlet process mixtures via enrichment.
J. Mach. Learn. Res.
Sara Wade, David B. Dunson, Sonia Petrone, Lorenzo Trippa