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Structure learning for CTBN's via penalized maximum likelihood methods

Structure learning for CTBN's via penalized maximum likelihood methods

13 June 2020
Maryia Shpak
B. Miasojedow
Wojciech Rejchel
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Papers citing "Structure learning for CTBN's via penalized maximum likelihood methods"

6 / 6 papers shown
Title
Oracle inequalities for the lasso in the Cox model
Oracle inequalities for the lasso in the Cox model
Jian Huang
Tingni Sun
Z. Ying
Yibin Yu
Cun-Hui Zhang
66
124
0
20 Jun 2013
Learning Continuous Time Bayesian Networks
Learning Continuous Time Bayesian Networks
Uri Nodelman
C. Shelton
D. Koller
127
145
0
19 Oct 2012
Fast MCMC sampling for Markov jump processes and extensions
Fast MCMC sampling for Markov jump processes and extensions
Vinayak A. Rao
Yee Whye Teh
69
117
0
23 Aug 2012
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
271
1,377
0
13 Oct 2010
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
190
957
0
02 Oct 2010
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
404
755
0
04 Apr 2008
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