SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization
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[1] W. Marsden. I and J , 2012 .
[2] Santiago Segarra,et al. Blind identification of graph filters with sparse inputs , 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[3] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[4] 24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016 , 2016, European Signal Processing Conference.
[5] Gene H. Golub,et al. Matrix computations (3rd ed.) , 1996 .
[6] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[7] Xiaodong Li,et al. Phase Retrieval via Wirtinger Flow: Theory and Algorithms , 2014, IEEE Transactions on Information Theory.
[8] Yonina C. Eldar,et al. Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms , 2012, SIAM J. Optim..
[9] Yonina C. Eldar,et al. Phase Retrieval via Matrix Completion , 2011, SIAM Rev..
[10] Thomas Strohmer,et al. Self-calibration and biconvex compressive sensing , 2015, ArXiv.
[11] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[12] John D. Lafferty,et al. A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements , 2015, NIPS.
[13] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[14] Yonina C. Eldar,et al. GESPAR: Efficient Phase Retrieval of Sparse Signals , 2013, IEEE Transactions on Signal Processing.
[15] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .
[16] Yonina C. Eldar,et al. Sparsity Based Sub-wavelength Imaging with Partially Incoherent Light via Quadratic Compressed Sensing References and Links , 2022 .
[17] Justin K. Romberg,et al. Blind Deconvolution Using Convex Programming , 2012, IEEE Transactions on Information Theory.
[18] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[19] Yuxin Chen,et al. Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems , 2015, NIPS.
[20] Yonina C. Eldar,et al. Phase Retrieval with Application to Optical Imaging: A contemporary overview , 2015, IEEE Signal Processing Magazine.
[21] J R Fienup,et al. Phase retrieval algorithms: a comparison. , 1982, Applied optics.
[22] Frédo Durand,et al. Understanding Blind Deconvolution Algorithms , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Yonina C. Eldar,et al. Phase Retrieval via Matrix Completion , 2013, SIAM J. Imaging Sci..
[24] Alexandre d'Aspremont,et al. Phase recovery, MaxCut and complex semidefinite programming , 2012, Math. Program..
[25] James R Fienup,et al. Phase retrieval algorithms: a personal tour [Invited]. , 2013, Applied optics.
[26] Max Simchowitz,et al. Low-rank Solutions of Linear Matrix Equations via Procrustes Flow , 2015, ICML.