Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems

30 May 2016

Papers citing "Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems"

22 / 22 papers shown

Title
Onsager-corrected deep learning for sparse linear inverse problems M. Borgerding Philip Schniter 53 92 0 20 Jul 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 75 530 0 13 Jul 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 173 3,198 0 15 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 82 2,000 0 14 Jun 2016
RAISR: Rapid and Accurate Image Super Resolution Yaniv Romano J. Isidoro P. Milanfar SupR 30 261 0 03 Jun 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 52 167 0 05 May 2016
A Variational Perspective on Accelerated Methods in Optimization Andre Wibisono Ashia Wilson Michael I. Jordan 80 572 0 14 Mar 2016
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 66 43 0 14 Nov 2015
Sharp Time--Data Tradeoffs for Linear Inverse Problems Samet Oymak Benjamin Recht Mahdi Soltanolkotabi 54 88 0 16 Jul 2015
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence Mert Pilanci Martin J. Wainwright 38 272 0 09 May 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 149 1,161 0 04 Mar 2015
Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares Mert Pilanci Martin J. Wainwright 64 204 0 03 Nov 2014
Compressed sensing for longitudinal MRI: An adaptive-weighted approach L. Weizman Yonina C. Eldar D. Ben Bashat 42 94 0 10 Jul 2014
Randomized Sketches of Convex Programs with Sharp Guarantees Mert Pilanci Martin J. Wainwright 252 176 0 29 Apr 2014
More data speeds up training time in learning halfspaces over sparse vectors Amit Daniely N. Linial Shai Shalev-Shwartz 50 46 0 10 Nov 2013
Learning efficient sparse and low rank models Pablo Sprechmann A. Bronstein Guillermo Sapiro 145 192 0 14 Dec 2012
Computational and Statistical Tradeoffs via Convex Relaxation V. Chandrasekaran Michael I. Jordan 59 220 0 05 Nov 2012
Optimal Computational Trade-Off of Inexact Proximal Methods Pierre Machart S. Anthoine Luca Baldassarre 64 23 0 18 Oct 2012
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y. Plan Roman Vershynin 164 457 0 06 Feb 2012
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 144 1,338 0 03 Dec 2010
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity Guoshen Yu Guillermo Sapiro S. Mallat 90 608 0 15 Jun 2010
Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support Namrata Vaswani Wei Lu 576 547 0 30 Mar 2009