Latent variable graphical model selection via convex optimization

6 August 2010

Papers citing "Latent variable graphical model selection via convex optimization"

50 / 57 papers shown

Title
Extremal graphical modeling with latent variables via convex optimization Sebastian Engelke Armeen Taeb 31 2 0 14 Mar 2024
Optimal vintage factor analysis with deflation varimax Xin Bing Dian Jin Yuqian Zhang Yuqian Zhang 27 1 0 16 Oct 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 67 8 0 18 Jul 2023
Sparse Graphical Linear Dynamical Systems Émilie Chouzenoux Victor Elvira 32 7 0 06 Jul 2023
SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels Alexander Moreno Jonathan Mei Luke Walters 23 0 0 15 May 2023
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models R. Tahmasbi Keyvan Tahmasbi 19 0 0 12 Apr 2023
Hidden Factor estimation in Dynamic Generalized Factor Analysis Models G. Picci Lucia Falconi A. Ferrante Mattia Zorzi 13 3 0 23 Nov 2022
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach Sérgio Machado Anirudh Sridhar P. Gil J. Henriques J. M. F. Moura A. Santos CML 15 2 0 08 Aug 2022
Structure Learning in Graphical Models from Indirect Observations Hang Zhang Afshin Abdi Faramarz Fekri CML 26 0 0 06 May 2022
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 28 10 0 28 Oct 2021
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles Tianyi Yao Minjie Wang Genevera I. Allen 16 1 0 22 Oct 2021
Joint Gaussian Graphical Model Estimation: A Survey Katherine Tsai Oluwasanmi Koyejo Mladen Kolar CML 41 20 0 19 Oct 2021
Joint inference of multiple graphs with hidden variables from stationary graph signals Samuel Rey Andrei Buciulea Madeline Navarro Santiago Segarra A. Marques 30 8 0 05 Oct 2021
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition Hongyuan Zhan Kamesh Madduri V. Shankar 10 0 0 22 Aug 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 27 47 0 29 Jun 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 32 2 0 14 May 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 44 165 0 15 Dec 2020
From Boltzmann Machines to Neural Networks and Back Again Surbhi Goel Adam R. Klivans Frederic Koehler 21 5 0 25 Jul 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables Guy Bresler Rares-Darius Buhai 18 2 0 07 Jun 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 19 26 0 11 Apr 2020
Universality in Learning from Linear Measurements Ehsan Abbasi Fariborz Salehi B. Hassibi 22 22 0 20 Jun 2019
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 19 67 0 14 Mar 2019
Ising Models with Latent Conditional Gaussian Variables Frank Nussbaum Joachim Giesen CML 17 6 0 28 Jan 2019
Predictive Learning on Hidden Tree-Structured Ising Models Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate 23 12 0 11 Dec 2018
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions Veronica Tozzo Federico Tomasi M. Squillario A. Barla 24 1 0 21 Nov 2018
Learning Latent Fractional dynamics with Unknown Unknowns Gaurav Gupta S. Pequito P. Bogdan 23 32 0 02 Nov 2018
Robust Sparse Reduced Rank Regression in High Dimensions Kean Ming Tan Qiang Sun Daniela Witten 27 3 0 18 Oct 2018
Learning Restricted Boltzmann Machines via Influence Maximization Guy Bresler Frederic Koehler Ankur Moitra Elchanan Mossel AI4CE 28 29 0 25 May 2018
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks Alex E. White Matthieu Vignes CML 15 5 0 04 May 2018
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport Filip Elvander A. Jakobsson Johan Karlsson 24 22 0 10 Nov 2017
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback Peng Yang P. Zhao Xin Gao Yong Liu 29 20 0 03 Jul 2017
SILVar: Single Index Latent Variable Models Jonathan Mei José M. F. Moura 15 24 0 09 May 2017
Learning Semidefinite Regularizers Yong Sheng Soh V. Chandrasekaran 34 6 0 05 Jan 2017
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations Mohammadreza Soltani C. Hegde 27 29 0 03 Aug 2016
Graph-Guided Banding of the Covariance Matrix Jacob Bien 19 6 0 01 Jun 2016
Generalized Network Psychometrics: Combining Network and Latent Variable Models S. Epskamp M. Rhemtulla D. Borsboom 20 424 0 30 May 2016
Interpreting Latent Variables in Factor Models via Convex Optimization Armeen Taeb V. Chandrasekaran 16 9 0 04 Jan 2016
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset T. Bouwmans A. Sobral S. Javed Soon Ki Jung E. Zahzah 39 330 0 04 Nov 2015
Sparse plus low-rank autoregressive identification in neuroimaging time series Raphaël Liégeois Bamdev Mishra Mattia Zorzi R. Sepulchre 26 26 0 30 Mar 2015
Signal Processing on Graphs: Causal Modeling of Unstructured Data Jonathan Mei José M. F. Moura CML AI4TS 25 191 0 28 Feb 2015
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization Quoc Tran-Dinh V. Cevher 34 47 0 20 Jun 2014
Linear Estimating Equations for Exponential Families with Application to Gaussian Linear Concentration Models Peter G. M. Forbes Steffen Lauritzen 38 34 0 04 Nov 2013
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Zhouchen Lin Risheng Liu Zhixun Su 24 193 0 18 Oct 2013
Partial Gaussian Graphical Model Estimation Xiao-Tong Yuan Tong Zhang 49 42 0 28 Sep 2012
On the Linear Convergence of the Alternating Direction Method of Multipliers Mingyi Hong Zhi-Quan Luo 43 720 0 20 Aug 2012
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection Shiqian Ma Lingzhou Xue H. Zou 57 101 0 06 Jun 2012
Learning loopy graphical models with latent variables: Efficient methods and guarantees Anima Anandkumar R. Valluvan 52 50 0 17 Mar 2012
Learning a Common Substructure of Multiple Graphical Gaussian Models Satoshi Hara Takashi Washio CML 59 32 0 01 Mar 2012
Clustering using Max-norm Constrained Optimization A. Jalali Nathan Srebro 39 32 0 25 Feb 2012
Sparse Nonparametric Graphical Models John D. Lafferty Han Liu Larry A. Wasserman 51 64 0 04 Jan 2012