92 citations · 111 across the 2 of their papers we have counts for
3 papers
stat.ML2026
SNACK: A Sequential Notation Framework for Probabilistic Graph Generation
Hohyun Kim, Hyesung Kim, Min-hwan Oh +1
We introduce SNACK, a string representation for probabilistic graph generation that enables language models to generate graphs with discrete node and edge features. SNACK linearize…
math.ST2016★ 19 cited
Asymptotic properties of Principal Component Analysis and shrinkage-bias adjustment under the Generalized Spiked Population model
Rounak Dey, Seunggeun Lee
With the development of high-throughput technologies, principal component analysis (PCA) in the high-dimensional regime is of great interest. Most of the existing theoretical and m…
math.ST2012★ 92 cited
Convergence and prediction of principal component scores in high-dimensional settings
Seunggeun Lee, Fei Zou, Fred A. Wright
A number of settings arise in which it is of interest to predict Principal Component (PC) scores for new observations using data from an initial sample. In this paper, we demonstra…