Sinead Williamson

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 9

Top Topics

Differentially Private

Top Venues

Pattern Recognit.

Publications

Luhuan Wu, Sinead Williamson
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation. CoRR (2024)
Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
Bootstrap Your Own Variance. CoRR (2023)
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
Federating recommendations using differentially private prototypes. Pattern Recognit. 129 (2022)
Reza Namazi, Elahe Ghalebi, Sinead Williamson, Hamidreza Mahyar
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework. CoRR (2022)
Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson
Distributed, partially collapsed MCMC for Bayesian Nonparametrics. AISTATS (2020)
Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh
Certifai: A Toolkit for Building Trust in AI Systems. IJCAI (2020)
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
Federating Recommendations Using Differentially Private Prototypes. CoRR (2020)
Shorya Consul, Sinead Williamson
Differentially Private Median Forests for Regression and Classification. CoRR (2020)
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. CoRR (2019)
Kumar Avinava Dubey, Sinead Williamson, Eric P. Xing
Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. UAI (2014)
Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing
A Nonparametric Mixture Model for Topic Modeling over Time. SDM (2013)
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
A unifying representation for a class of dependent random measures. AISTATS (2013)
Sinead Williamson, Steve N. MacEachern, Eric P. Xing
Restricting exchangeable nonparametric distributions. NIPS (2013)
Sinead Williamson, Avinava Dubey, Eric P. Xing
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models. ICML (1) (2013)
Nicholas J. Foti, Sinead Williamson
A survey of non-exchangeable priors for Bayesian nonparametric models CoRR (2012)
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
A unifying representation for a class of dependent random measures CoRR (2012)
Ke Zhai, Yuening Hu, Jordan L. Boyd-Graber, Sinead Williamson
Modeling Images using Transformed Indian Buffet Processes. ICML (2012)
Nicholas J. Foti, Sinead Williamson
Slice sampling normalized kernel-weighted completely random measure mixture models. NIPS (2012)
Sinead Williamson, Peter Orbanz, Zoubin Ghahramani
Dependent Indian Buffet Processes. AISTATS (2010)
Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML (2010)
Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani
Statistical models for partial membership. ICML (2008)