Understanding Trainable Sparse Coding via Matrix Factorization
暂无分享,去创建一个
[1] Andrew Y. Ng,et al. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , 2011, ICML.
[2] Michael I. Jordan,et al. Computational and statistical tradeoffs via convex relaxation , 2012, Proceedings of the National Academy of Sciences.
[3] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[4] Wen Gao,et al. Maximal Sparsity with Deep Networks? , 2016, NIPS.
[5] Benjamin Recht,et al. Sharp Time–Data Tradeoffs for Linear Inverse Problems , 2015, IEEE Transactions on Information Theory.
[6] Heinz H. Bauschke,et al. Convex Analysis and Monotone Operator Theory in Hilbert Spaces , 2011, CMS Books in Mathematics.
[7] S. Osher,et al. Coordinate descent optimization for l 1 minimization with application to compressed sensing; a greedy algorithm , 2009 .
[8] Michael W. Mahoney,et al. Fast Randomized Kernel Ridge Regression with Statistical Guarantees , 2015, NIPS.
[9] T. Hesterberg,et al. Least angle and ℓ1 penalized regression: A review , 2008, 0802.0964.
[10] R. Tibshirani,et al. PATHWISE COORDINATE OPTIMIZATION , 2007, 0708.1485.
[11] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[12] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[13] Jean-Baptiste Hiriart-Urruty,et al. How to regularize a difference of convex functions , 1991 .
[14] Sébastien Bubeck,et al. Theory of Convex Optimization for Machine Learning , 2014, ArXiv.
[15] Bruno A. Olshausen,et al. Learning Intermediate-Level Representations of Form and Motion from Natural Movies , 2012, Neural Computation.
[16] Martin J. Wainwright,et al. Randomized sketches for kernels: Fast and optimal non-parametric regression , 2015, ArXiv.
[17] Yurii Nesterov,et al. Smooth minimization of non-smooth functions , 2005, Math. Program..
[18] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[19] Alekh Agarwal,et al. Computational Trade-offs in Statistical Learning , 2012 .
[20] C. O’Brien. Statistical Learning with Sparsity: The Lasso and Generalizations , 2016 .
[21] Guillermo Sapiro,et al. Learning Efficient Structured Sparse Models , 2012, ICML.
[22] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[23] Yonina C. Eldar,et al. Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems , 2016, IEEE Transactions on Signal Processing.