Sparse Recovery with Brownian Sensing
暂无分享,去创建一个
Rémi Munos | Alexandra Carpentier | Odalric-Ambrym Maillard | R. Munos | Odalric-Ambrym Maillard | A. Carpentier
[1] G. Bennett. Probability Inequalities for the Sum of Independent Random Variables , 1962 .
[2] D. Donoho,et al. Uncertainty principles and signal recovery , 1989 .
[3] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[4] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[5] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[6] Peng Zhao,et al. On Model Selection Consistency of Lasso , 2006, J. Mach. Learn. Res..
[7] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[8] E. Candès,et al. Sparsity and incoherence in compressive sampling , 2006, math/0611957.
[9] M. Rudelson,et al. On sparse reconstruction from Fourier and Gaussian measurements , 2008 .
[10] R. DeVore,et al. A Simple Proof of the Restricted Isometry Property for Random Matrices , 2008 .
[11] Richard G. Baraniuk,et al. Compressive Sensing , 2008, Computer Vision, A Reference Guide.
[12] E. Candès. The restricted isometry property and its implications for compressed sensing , 2008 .
[13] V. Koltchinskii. The Dantzig selector and sparsity oracle inequalities , 2009, 0909.0861.
[14] S. Geer,et al. On the conditions used to prove oracle results for the Lasso , 2009, 0910.0722.
[15] S. Foucart,et al. Sparsest solutions of underdetermined linear systems via ℓq-minimization for 0 , 2009 .
[16] Arnak S. Dalalyan,et al. Sparse Regression Learning by Aggregation and Langevin Monte-Carlo , 2009, COLT.
[17] H. Rauhut. Compressive Sensing and Structured Random Matrices , 2009 .
[18] Massimo Fornasier,et al. Theoretical Foundations and Numerical Methods for Sparse Recovery , 2010, Radon Series on Computational and Applied Mathematics.
[19] R. Tibshirani,et al. Regression shrinkage and selection via the lasso: a retrospective , 2011 .
[20] Holger Rauhut,et al. Sparse Legendre expansions via l1-minimization , 2012, J. Approx. Theory.
[21] Holger Rauhut,et al. Compressive Sensing with structured random matrices , 2012 .