Overlapping decomposition for causal graphical modeling
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[1] Pradeep Ravikumar,et al. BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables , 2013, NIPS.
[2] Mark W. Schmidt,et al. Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches , 2007, ECML.
[3] Trevor J. Hastie,et al. Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso , 2011, J. Mach. Learn. Res..
[4] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[5] Yan Liu,et al. Temporal causal modeling with graphical granger methods , 2007, KDD '07.
[6] Martin A. Nowak,et al. Inferring Cellular Networks Using Probabilistic Graphical Models , 2004 .
[7] Le Song,et al. Time-Varying Dynamic Bayesian Networks , 2009, NIPS.
[8] Patrick Danaher,et al. The joint graphical lasso for inverse covariance estimation across multiple classes , 2011, Journal of the Royal Statistical Society. Series B, Statistical methodology.
[9] Yan Liu,et al. Spatial-temporal causal modeling for climate change attribution , 2009, KDD.
[10] Pradeep Ravikumar,et al. A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation , 2012, NIPS.
[11] J. N. R. Jeffers,et al. Graphical Models in Applied Multivariate Statistics. , 1990 .
[12] Pei Wang,et al. Partial Correlation Estimation by Joint Sparse Regression Models , 2008, Journal of the American Statistical Association.
[13] Ruoming Jin,et al. A Sparsification Approach for Temporal Graphical Model Decomposition , 2009, 2009 Ninth IEEE International Conference on Data Mining.
[14] Pradeep Ravikumar,et al. Sparse inverse covariance matrix estimation using quadratic approximation , 2011, MLSLP.
[15] Yan Liu,et al. Learning dynamic temporal graphs for oil-production equipment monitoring system , 2009, KDD.
[16] Massimiliano Pontil,et al. Convex multi-task feature learning , 2008, Machine Learning.
[17] Eric P. Xing,et al. On Time Varying Undirected Graphs , 2011, AISTATS.
[18] R. Tibshirani,et al. Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.
[19] Shang-Hua Teng,et al. A Local Clustering Algorithm for Massive Graphs and Its Application to Nearly Linear Time Graph Partitioning , 2008, SIAM J. Comput..
[20] Larry A. Wasserman,et al. Time varying undirected graphs , 2008, Machine Learning.
[21] E. Levina,et al. Joint estimation of multiple graphical models. , 2011, Biometrika.
[22] Adam J. Rothman,et al. Sparse permutation invariant covariance estimation , 2008, 0801.4837.
[23] Le Song,et al. Sparsistent Learning of Varying-coefficient Models with Structural Changes , 2009, NIPS.
[24] Jorge Nocedal,et al. Newton-Like Methods for Sparse Inverse Covariance Estimation , 2012, NIPS.
[25] Xi Chen,et al. Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis , 2010, AAAI.
[26] Dimitris Samaras,et al. Multi-Task Learning of Gaussian Graphical Models , 2010, ICML.
[27] Fergal Reid,et al. Detecting highly overlapping community structure by greedy clique expansion , 2010, KDD 2010.
[28] Steffen L. Lauritzen,et al. Graphical models in R , 1996 .
[29] Yan Liu,et al. Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery , 2011, J. Bioinform. Comput. Biol..
[30] Le Song,et al. Estimating time-varying networks , 2008, ISMB 2008.
[31] M. Yuan,et al. Model selection and estimation in the Gaussian graphical model , 2007 .