2 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis
Sangil Han, Kyoowon Kim, Sungkyu Jung
The singular value decomposition (SVD) is a crucial tool in machine learning and statistical data analysis. However, it is highly susceptible to outliers in the data matrix. Existi…
math.PR2023★ 2 cited
A genericity property of Fréchet sample means on Riemannian manifolds
David Groisser, Sungkyu Jung, Armin Schwartzman
Let be a Riemannian manifold. If is a probability measure on given by a continuous density function, one would expect the Fréchet means of data-samples $Q=(q_1,q_2,…
stat.ME2016★ 2 cited
Sparse Generalized Eigenvalue Problem with Application to Canonical Correlation Analysis for Integrative Analysis of Methylation and Gene Expression Data
Sandra E. Safo, Jeongyoun Ahn, Yongho Jeon +1
We present a method for individual and integrative analysis of high dimension, low sample size data that capitalizes on the recurring theme in multivariate analysis of projecting h…