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Sinead Williamson

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Bootstrap Your Own Variance

Dec 06, 2023
Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Dhekane, Russ Webb

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SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework

Jan 29, 2022
Reza Namazi, Elahe Ghalebi, Sinead Williamson, Hamidreza Mahyar

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Differentially Private Median Forests for Regression and Classification

Jun 15, 2020
Shorya Consul, Sinead Williamson

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Federating Recommendations Using Differentially Private Prototypes

Mar 01, 2020
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo

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Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks

May 29, 2019
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson

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A survey of non-exchangeable priors for Bayesian nonparametric models

Nov 20, 2012
Nicholas J. Foti, Sinead Williamson

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A unifying representation for a class of dependent random measures

Nov 20, 2012
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson

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Restricting exchangeable nonparametric distributions

Sep 05, 2012
Sinead Williamson, Zoubin Ghahramani, Steven N. MacEachern, Eric P. Xing

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A non-parametric mixture model for topic modeling over time

Aug 22, 2012
Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing

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