graph estimation

Finding Super-spreaders in Network Cascades COLT 2024 Sparsistency for inverse optimal transport ICLR 2024 Directed Graphical Models and Causal Discovery for Zero-Inflated Data CLeaR 2023 FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting JMLR 2022 Community-Based Group Graphical Lasso JMLR 2020 Direct Estimation of Differential Functional Graphical Models NeurIPS 2019 Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy NeurIPS 2019 On Semiparametric Exponential Family Graphical Models JMLR 2018 Graph Estimation From Multi-Attribute Data JMLR 2014 Markov Network Estimation From Multi-attribute Data ICML 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012 The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012 On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010