Speeding Up Latent Variable Gaussian Graphical Model Estimation via
Nonconvex Optimizations

Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations

28 February 2017

Quanquan Gu

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Papers citing "Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations"

8 / 8 papers shown

Title
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits H. Bui Enrique Mallada Anqi Liu 509 1 0 08 Nov 2024
Neural Contextual Bandits with Deep Representation and Shallow Exploration Pan Xu Zheng Wen Handong Zhao Quanquan Gu OffRL 89 78 0 03 Dec 2020
Graph quilting: graphical model selection from partially observed covariances Giuseppe Vinci Gautam Dasarathy Genevera I. Allen CML 86 20 0 11 Dec 2019
Rank Aggregation via Heterogeneous Thurstone Preference Models Tao Jin Pan Xu Quanquan Gu Farzad Farnoud 49 16 0 03 Dec 2019
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables Marina Vinyes G. Obozinski CML 46 2 0 20 Jul 2018
Learning Restricted Boltzmann Machines via Influence Maximization Guy Bresler Frederic Koehler Ankur Moitra Elchanan Mossel AI4CE 70 29 0 25 May 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow Xiao Zhang S. Du Quanquan Gu 58 24 0 03 Mar 2018
Semiblind subgraph reconstruction in Gaussian graphical models T. Xie Sijia Liu Alfred Hero 23 1 0 15 Nov 2017