network estimation

Transfer Learning for Latent Variable Network Models NeurIPS 2024 Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023 Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge AISTATS 2022 Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions JMLR 2021 Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NeurIPS 2021 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Learning Sparse Gaussian Graphical Models with Overlapping Blocks NeurIPS 2016 Joint Estimation of Multiple Precision Matrices with Common Structures JMLR 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Graphical Models via Generalized Linear Models NeurIPS 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012