An inexact successive quadratic approximation method for L-1 regularized optimization
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[1] James M. Ortega,et al. Iterative solution of nonlinear equations in several variables , 2014, Computer science and applied mathematics.
[2] R. Dembo,et al. INEXACT NEWTON METHODS , 1982 .
[3] Jorge Nocedal,et al. Representations of quasi-Newton matrices and their use in limited memory methods , 1994, Math. Program..
[4] Jean-Yves Audibert. Optimization for Machine Learning , 1995 .
[5] Michael Patriksson,et al. Cost Approximation: A Unified Framework of Descent Algorithms for Nonlinear Programs , 1998, SIAM J. Optim..
[6] M. Patriksson. Nonlinear Programming and Variational Inequality Problems: A Unified Approach , 1998 .
[7] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[8] M. Patriksson. Nonlinear Programming and Variational Inequality Problems , 1999 .
[9] F. Facchinei,et al. Finite-Dimensional Variational Inequalities and Complementarity Problems , 2003 .
[10] Leonhard Held,et al. Gaussian Markov Random Fields: Theory and Applications , 2005 .
[11] Alexandre d'Aspremont,et al. Convex optimization techniques for fitting sparse Gaussian graphical models , 2006, ICML.
[12] Jianfeng Gao,et al. Scalable training of L1-regularized log-linear models , 2007, ICML '07.
[13] Alexandre d'Aspremont,et al. Model Selection Through Sparse Max Likelihood Estimation Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data , 2022 .
[14] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[15] Stephen J. Wright,et al. Sparse Reconstruction by Separable Approximation , 2008, IEEE Transactions on Signal Processing.
[16] Lu Li,et al. An inexact interior point method for L1-regularized sparse covariance selection , 2010, Math. Program. Comput..
[17] Emmanuel J. Candès,et al. Templates for convex cone problems with applications to sparse signal recovery , 2010, Math. Program. Comput..
[18] Pradeep Ravikumar,et al. Sparse inverse covariance matrix estimation using quadratic approximation , 2011, MLSLP.
[19] Saverio Salzo,et al. Inexact and accelerated proximal point algorithms , 2011 .
[20] Mark W. Schmidt,et al. Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization , 2011, NIPS.
[21] Jorge Nocedal,et al. Newton-Like Methods for Sparse Inverse Covariance Estimation , 2012, NIPS.
[22] Jorge Nocedal,et al. Sample size selection in optimization methods for machine learning , 2012, Math. Program..
[23] R. Tyrrell Rockafellar,et al. Convergence of inexact Newton methods for generalized equations , 2013, Math. Program..
[24] Katya Scheinberg,et al. Complexity of Inexact Proximal Newton methods , 2013, ArXiv.
[25] Michael A. Saunders,et al. Proximal Newton-Type Methods for Minimizing Composite Functions , 2012, SIAM J. Optim..
[26] Michael Ulbrich,et al. A Semismooth Newton Method with Multidimensional Filter Globalization for l1-Optimization , 2014, SIAM J. Optim..