4 citations · 5 across the 2 of their papers we have counts for
4 papers
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…
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…
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality
Joong-Ho Won, Hua Zhou, Kenneth Lange
This paper studies the problem of maximizing the sum of traces of matrix quadratic forms on a product of Stiefel manifolds. This orthogonal trace-sum maximization (OTSM) problem ge…
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET
Ernest K. Ryu, Seyoon Ko, Joong-Ho Won
Many imaging problems, such as total variation reconstruction of X-ray computed tomography (CT) and positron-emission tomography (PET), are solved via a convex optimization problem…