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graphical model selection
graphical model selection
11 papers
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graphical model
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sparse estimation
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markov random field
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gaussian graphical model
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sparse optimization
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ising model
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structure estimation
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proximal gradient
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scale-free network
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network inference
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Papers
Learning Gaussian Graphical Models via Multiplicative Weights
AISTATS 2020
Proximity Operator of the Matrix Perspective Function and its Applications
NIPS 2020
Lower Bounds on Active Learning for Graphical Model Selection
AISTATS 2017
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
NIPS 2014
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
JMLR 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs
NIPS 2012
Discussion of “Learning Scale Free Networks by Reweighted $\ell_1$ regularization”
AISTATS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization
AISTATS 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
NIPS 2011
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
NIPS 2006
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