5 citations · 14 across the 17 of their papers we have counts for
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cs.DS2021
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala +2
Gaussian Bayesian networks (a.k.a. linear Gaussian structural equation models) are widely used to model causal interactions among continuous variables. In this work, we study the p…
cs.LG2021
The Complexity of Sparse Tensor PCA
Davin Choo, Tommaso d'Orsi
We study the problem of sparse tensor principal component analysis: given a tensor with having i.i.d. Gaussian…
cs.DC2021
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs
Mélanie Cambus, Davin Choo, Havu Miikonen +1
Identifying clusters of similar elements in a set is a common task in data analysis. With the immense growth of data and physical limitations on single processor speed, it is neces…