316 citations · 661 across the 65 of their papers we have counts for
7 papers · 1 filter
Active Structure Learning of Causal DAGs via Directed Clique Tree
Chandler Squires, Sara Magliacane, Kristjan Greenewald +3
A growing body of work has begun to study intervention design for efficient structure learning of causal directed acyclic graphs (DAGs). A typical setting is a causally sufficient…
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald, Seyoung Park, Shuheng Zhou +1
In this work, we present an additive model for space-time data that splits the data into a temporally correlated component and a spatially correlated component. We model the spatia…
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Predrag Klasnja +1
Contextual bandits have become popular as they offer a middle ground between very simple approaches based on multi-armed bandits and very complex approaches using the full power of…
Tensor Graphical Lasso (TeraLasso)
Kristjan Greenewald, Shuheng Zhou, Alfred Hero
This paper introduces a multi-way tensor generalization of the Bigraphical Lasso (BiGLasso), which uses a two-way sparse Kronecker-sum multivariate-normal model for the precision m…
Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation
Kristjan Greenewald, Alfred Hero
Kronecker PCA involves the use of a space vs. time Kronecker product decomposition to estimate spatio-temporal covariances. In this work the addition of a sparse correction factor…
Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions
Kristjan Greenewald, Alfred O. Hero
In this work we consider the estimation of spatio-temporal covariance matrices in the low sample non-Gaussian regime. We impose covariance structure in the form of a sum of Kroneck…
Kronecker Sum Decompositions of Space-Time Data
Kristjan Greenewald, Theodoros Tsiligkaridis, Alfred O Hero
In this paper we consider the use of the space vs. time Kronecker product decomposition in the estimation of covariance matrices for spatio-temporal data. This decomposition impose…