40 citations · 69 across the 8 of their papers we have counts for
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stat.ML2017★ 5 cited
Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration
Seyoon Ko, Donghyeon Yu, Joong-Ho Won
Many statistical learning problems can be posed as minimization of a sum of two convex functions, one typically a composition of non-smooth and linear functions. Examples include r…
stat.ML2016★ 19 cited
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks
Evan Racah, Seyoon Ko, Peter Sadowski +5
Experiments in particle physics produce enormous quantities of data that must be analyzed and interpreted by teams of physicists. This analysis is often exploratory, where scientis…