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A Convex Formulation for Learning Scale-Free Networks via Submodular
  Relaxation

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation

Neural Information Processing Systems (NeurIPS), 2012
10 July 2014
Aaron Defazio
T. Caetano
ArXiv (abs)PDFHTML

Papers citing "A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation"

12 / 12 papers shown
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit SettingAAAI Conference on Artificial Intelligence (AAAI), 2025
Sifan Yang
Yuanyu Wan
Lijun Zhang
130
1
0
01 Aug 2025
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithmJournal of Scientific Computing (J. Sci. Comput.), 2023
Chengjing Wang
Peipei Tang
Wen-Bin He
Meixia Lin
355
2
0
17 Aug 2023
Learning Gaussian Graphical Models with Ordered Weighted L1
  Regularization
Learning Gaussian Graphical Models with Ordered Weighted L1 RegularizationIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Cody Mazza-Anthony
Bogdan Mazoure
Mark Coates
318
4
0
06 Jun 2019
Learning the effect of latent variables in Gaussian Graphical models
  with unobserved variables
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables
Marina Vinyes
G. Obozinski
CML
252
2
0
20 Jul 2018
Learning Gaussian Graphical Models Using Discriminated Hub Graphical
  Lasso
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso
Zerui Li
Jingtian Bai
Weilian Zhou
329
1
0
17 May 2017
Structure Learning in Graphical Modeling
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
358
271
0
07 Jun 2016
Network Inference by Learned Node-Specific Degree Prior
Network Inference by Learned Node-Specific Degree Prior
Qingming Tang
Lifu Tu
Weiran Wang
Jinbo Xu
308
0
0
07 Feb 2016
Log-Normal Matrix Completion for Large Scale Link Prediction
Log-Normal Matrix Completion for Large Scale Link Prediction
Brian Mohtashemi
T. Ketseoglou
177
1
0
28 Jan 2016
Learning Nonparametric Forest Graphical Models with Prior Information
Learning Nonparametric Forest Graphical Models with Prior Information
Yuancheng Zhu
Zhe Liu
S. Sun
340
2
0
12 Nov 2015
New Optimisation Methods for Machine Learning
New Optimisation Methods for Machine Learning
Aaron Defazio
277
7
0
09 Oct 2015
Learning Scale-Free Networks by Dynamic Node-Specific Degree Prior
Learning Scale-Free Networks by Dynamic Node-Specific Degree Prior
Qingming Tang
S. Sun
Jinbo Xu
383
1
0
07 Mar 2015
Learning Graphical Models With Hubs
Learning Graphical Models With HubsJournal of machine learning research (JMLR), 2014
Kean Ming Tan
Palma London
Karthika Mohan
Su-In Lee
Maryam Fazel
Daniela Witten
416
105
0
28 Feb 2014
1
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