11 citations · 70 across the 22 of their papers we have counts for
4 papers · 1 filter
Understanding collections of related datasets using dependent MMD coresets
Sinead A. Williamson, Jette Henderson
Understanding how two datasets differ can help us determine whether one dataset under-represents certain sub-populations, and provides insights into how well models will generalize…
Balance is key: Private median splits yield high-utility random trees
Shorya Consul, Sinead A. Williamson
Random forests are a popular method for classification and regression due to their versatility. However, this flexibility can come at the cost of user privacy, since training rando…
Federating Recommendations Using Differentially Private Prototypes
Mónica Ribero, Jette Henderson, Sinead Williamson +1
Machine learning methods allow us to make recommendations to users in applications across fields including entertainment, dating, and commerce, by exploiting similarities in users'…
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing +1
Bayesian nonparametric (BNP) models provide elegant methods for discovering underlying latent features within a data set, but inference in such models can be slow. We exploit the f…