Williamson, Sinead A

10 publications

AISTATS 2024 Posterior Uncertainty Quantification in Neural Networks Using Data Augmentation Luhuan Wu, Sinead A Williamson

JMLR 2020 A New Class of Time Dependent Latent Factor Models with Applications Sinead A. Williamson, Michael Minyi Zhang, Paul Damien

JMLR 2019 Embarrassingly Parallel Inference for Gaussian Processes Michael Minyi Zhang, Sinead A. Williamson

ECML-PKDD 2019 Importance Weighted Generative Networks Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson

UAI 2019 Random Clique Covers for Graphs with Local Density and Global Sparsity Sinead A. Williamson, Mauricio Tec

MLJ 2018 A Scalable Preference Model for Autonomous Decision-Making Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes

JMLR 2016 Nonparametric Network Models for Link Prediction Sinead A. Williamson

NeurIPS 2016 Variance Reduction in Stochastic Gradient Langevin Dynamics Kumar Avinava Dubey, Sashank J. Reddi, Sinead A Williamson, Barnabas Poczos, Alexander J Smola, Eric P Xing

NeurIPS 2014 Dependent Nonparametric Trees for Dynamic Hierarchical Clustering Kumar Avinava Dubey, Qirong Ho, Sinead A Williamson, Eric P Xing

NeurIPS 2013 Restricting Exchangeable Nonparametric Distributions Sinead A Williamson, Steve N MacEachern, Eric P Xing