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Transfer learning for high-dimensional Gaussian graphical models (GGMs) is studied with the goal of estimating the target GGM by utilizing the data from similar and related auxiliary studies.
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Provable meta-learning of linear representations
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A no-free-lunch theorem for multitask learning
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Li, S., T. T. Cai, and H. Li (2020) · 2006
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Tripuraneni, N., M. I. Jordan, and C. Jin (2020) · 2006
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Sparse permutation invariant covariance estimation
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Simultaneous analysis of lasso and dantzig selector
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Sparsistency and rates of convergence in large covariance matrix estimation
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Taking advantage of sparsity in multi-task learning
Lounici, K., M. Pontil, A. B. Tsybakov, et al. (2009) · 2009
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A survey on transfer learning
Pan, S. J. and Q. Yang (2009) · 2009
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Restricted eigenvalue properties for correlated gaussian designs
Raskutti, G., M. J. Wainwright, and B. Yu (2010) · 2010
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Brain covariance selection: better individual functional connectivity models using population prior
Varoquaux, G., A. Gramfort, J.-B. Poline, et al. (2010) · 2010
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A constrained l1 minimization approach to sparse precision matrix estimation
Cai, T. T., W. Liu, and X. Luo (2011) · 2011
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Joint estimation of multiple graphical models
Guo, J., E. Levina, G. Michailidis, et al. (2011) · 2011
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Minimax rates of estimation for high-dimensional linear regression over
Raskutti, G., M. J. Wainwright, and B. Yu (2011) · 2011
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Exponential screening and optimal rates of sparse estimation
Rigollet, P. and A. Tsybakov (2011) · 2011
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Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Agarwal, A., S. Negahban, and M. J. Wainwright (2012) · 2012
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Gaussian graphical model estimation with false discovery rate control
Liu, W. (2013) · 2013
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The joint graphical lasso for inverse covariance estimation across multiple classes
Danaher, P., P. Wang, and D. M. Witten (2014) · 2014
Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity
Cai, T. T. and Z. Guo (2017) · 2017
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Structure learning in graphical modeling
Drton, M. and M. H. Maathuis (2017) · 2017
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Exploring regulation in tissues with eqtl networks
Fagny, M., J. N. Paulson, M. L. Kuijjer, et al. (2017) · 2017
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Tiger: A tuning-insensitive approach for optimally estimating gaussian graphical models
Liu, H. and L. Wang (2017) · 2017
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Transfer learning approaches to improve drug sensitivity prediction in multiple myeloma patients
Turki, T., Z. Wei, and J. T. Wang (2017) · 2017
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Predicting with proxies: Transfer learning in high dimension
Bastani, H. (2018) · 2018
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Tsybakov, A. B. (2014) · 2014
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Zhao, S. D., T. T. Cai, and H. Li (2014) · 2014
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Glymour, C., K. Zhang, and P. Spirtes (2019) · 2019
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False discovery rate control via debiased lasso
Javanmard, A. and H. Javadi (2019) · 2019
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