13 citations · 28 across the 14 of their papers we have counts for
Showing 2020Show all
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stat.CO2020★ 4 cited
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia
Seyoon Ko, Hua Zhou, Jin Zhou +1
The demand for high-performance computing (HPC) is ever-increasing for everyday statistical computing purposes. The downside is that we need to write specialized code for each HPC…
stat.ML2020★ 1 cited
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Yongchan Kwon, Wonyoung Kim, Joong-Ho Won +1
Wasserstein distributionally robust optimization (WDRO) attempts to learn a model that minimizes the local worst-case risk in the vicinity of the empirical data distribution define…
stat.CO2020★ 1 cited
High-Performance Statistical Computing in the Computing Environments of the 2020s
Seyoon Ko, Hua Zhou, Jin J. Zhou +1
Technological advances in the past decade, hardware and software alike, have made access to high-performance computing (HPC) easier than ever. We review these advances from a stati…