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Sara Wade
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2020 – today
- 2024
- [j5]Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin
:
Fast deep mixtures of Gaussian process experts. Mach. Learn. 113(3): 1483-1508 (2024) - 2023
- [j4]Weichang Yu
, Sara Wade, Howard D. Bondell
, Lamiae Azizi:
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. J. Comput. Graph. Stat. 32(2): 588-600 (2023) - [c2]Breeshey Roskams-Hieter, Jude Wells, Sara Wade:
Leveraging Variational Autoencoders for Multiple Data Imputation. ECML/PKDD (1) 2023: 491-506 - 2022
- [i7]Teemu Härkönen, Sara Wade, Kody J. H. Law, Lassi Roininen:
Mixtures of Gaussian Process Experts with SMC2. CoRR abs/2208.12830 (2022) - [i6]Breeshey Roskams-Hieter, Jude Wells, Sara Wade:
Leveraging variational autoencoders for multiple data imputation. CoRR abs/2209.15321 (2022) - 2021
- [j3]Charles W. L. Gadd, Sara Wade, Akeel A. Shah
:
Pseudo-marginal Bayesian inference for Gaussian process latent variable models. Mach. Learn. 110(6): 1105-1143 (2021) - [i5]Anja K. Leist
, Matthias Klee
, Jung Hyun Kim, David H. Rehkopf, Stéphane P. A. Bordas, Graciela Muniz-Terrera, Sara Wade:
Machine learning in the social and health sciences. CoRR abs/2106.10716 (2021) - [i4]Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi:
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. CoRR abs/2109.14171 (2021) - 2020
- [j2]Karla Monterrubio-Gómez, Lassi Roininen
, Sara Wade, Theodoros Damoulas, Mark Girolami
:
Posterior inference for sparse hierarchical non-stationary models. Comput. Stat. Data Anal. 148: 106954 (2020) - [c1]Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas:
Enriched mixtures of generalised Gaussian process experts. AISTATS 2020: 3144-3154 - [i3]Clement Etienam, Kody J. H. Law, Sara Wade:
Ultra-fast Deep Mixtures of Gaussian Process Experts. CoRR abs/2006.13309 (2020)
2010 – 2019
- 2019
- [i2]Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas:
Enriched Mixtures of Gaussian Process Experts. CoRR abs/1905.12969 (2019) - 2018
- [i1]Charles W. L. Gadd, Sara Wade, Akeel A. Shah, Dimitris Grammatopoulos:
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models. CoRR abs/1803.10746 (2018) - 2014
- [j1]Sara Wade, David B. Dunson, Sonia Petrone, Lorenzo Trippa:
Improving prediction from dirichlet process mixtures via enrichment. J. Mach. Learn. Res. 15(1): 1041-1071 (2014)
Coauthor Index
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