The Learned Inexact Project Gradient Descent Algorithm
暂无分享,去创建一个
Yonina C. Eldar | Guillermo Sapiro | Alexander M. Bronstein | Raja Giryes | A. Bronstein | G. Sapiro | R. Giryes
[1] Marcin Andrychowicz,et al. Learning to learn by gradient descent by gradient descent , 2016, NIPS.
[2] Benjamin Recht,et al. Sharp Time–Data Tradeoffs for Linear Inverse Problems , 2015, IEEE Transactions on Information Theory.
[3] Joan Bruna,et al. Understanding Neural Sparse Coding with Matrix Factorization , 2016 .
[4] Michael Elad,et al. Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization , 2007 .
[5] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[6] Ken Perlin,et al. Accelerating Eulerian Fluid Simulation With Convolutional Networks , 2016, ICML.
[7] Mike E. Davies,et al. Iterative Hard Thresholding for Compressed Sensing , 2008, ArXiv.
[8] Y. Nesterov. A method for solving the convex programming problem with convergence rate O(1/k^2) , 1983 .
[9] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[10] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[11] Raja Giryes,et al. Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces , 2017, Applied and Computational Harmonic Analysis.
[12] Volkan Cevher,et al. Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.
[13] Guillermo Sapiro,et al. Learning Efficient Sparse and Low Rank Models , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[15] I. Yavneh,et al. A multilevel iterated-shrinkage approach to l-1 penalized least-squares minimization , 2012 .
[16] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[17] Jorge Nocedal,et al. Optimization Methods for Large-Scale Machine Learning , 2016, SIAM Rev..
[18] Yonina C. Eldar,et al. Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems , 2016, IEEE Transactions on Signal Processing.
[19] Yoram Singer,et al. Efficient projections onto the l1-ball for learning in high dimensions , 2008, ICML '08.
[20] Patrick L. Combettes,et al. Proximal Splitting Methods in Signal Processing , 2009, Fixed-Point Algorithms for Inverse Problems in Science and Engineering.
[21] Yaniv Plan,et al. Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach , 2012, IEEE Transactions on Information Theory.
[22] Alexander M. Bronstein,et al. A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels , 2015, ArXiv.