204 citations · 443 across the 11 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
stat.CO2017★ 38 cited
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs
V. Roshan Joseph, Dianpeng Wang, Li Gu +2
Markov chain Monte Carlo (MCMC) methods require a large number of samples to approximate a posterior distribution, which can be costly when the likelihood or prior is expensive to…
stat.ME2017★ 11 cited
Projected support points: a new method for high-dimensional data reduction
Simon Mak, V. Roshan Joseph
In an era where big and high-dimensional data is readily available, data scientists are inevitably faced with the challenge of reducing this data for expensive downstream computati…