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Sharp Time--Data Tradeoffs for Linear Inverse Problems

Sharp Time--Data Tradeoffs for Linear Inverse Problems

16 July 2015
Samet Oymak
Benjamin Recht
Mahdi Soltanolkotabi
ArXivPDFHTML

Papers citing "Sharp Time--Data Tradeoffs for Linear Inverse Problems"

15 / 15 papers shown
Title
Equivariance Regularization for Image Reconstruction
Equivariance Regularization for Image Reconstruction
Junqi Tang
19
2
0
10 Feb 2022
Stochastic Primal-Dual Deep Unrolling
Stochastic Primal-Dual Deep Unrolling
Junqi Tang
Subhadip Mukherjee
Carola-Bibiane Schönlieb
22
4
0
19 Oct 2021
Precise Statistical Analysis of Classification Accuracies for
  Adversarial Training
Precise Statistical Analysis of Classification Accuracies for Adversarial Training
Adel Javanmard
Mahdi Soltanolkotabi
AAML
26
62
0
21 Oct 2020
A Unified Approach to Uniform Signal Recovery From Non-Linear
  Observations
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations
Martin Genzel
A. Stollenwerk
19
6
0
19 Sep 2020
The Practicality of Stochastic Optimization in Imaging Inverse Problems
The Practicality of Stochastic Optimization in Imaging Inverse Problems
Junqi Tang
K. Egiazarian
Mohammad Golbabaee
Mike Davies
25
30
0
22 Oct 2019
Fast and Provable ADMM for Learning with Generative Priors
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez
Armin Eftekhari
V. Cevher
GAN
25
43
0
07 Jul 2019
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
35
39
0
05 Feb 2018
Non-convex Optimization for Machine Learning
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
22
478
0
21 Dec 2017
Don't relax: early stopping for convex regularization
Don't relax: early stopping for convex regularization
Simon Matet
Lorenzo Rosasco
S. Villa
Bang Long Vu
22
19
0
18 Jul 2017
Understanding the Learned Iterative Soft Thresholding Algorithm with
  matrix factorization
Understanding the Learned Iterative Soft Thresholding Algorithm with matrix factorization
Thomas Moreau
Joan Bruna
12
15
0
02 Jun 2017
Fast and Reliable Parameter Estimation from Nonlinear Observations
Fast and Reliable Parameter Estimation from Nonlinear Observations
Samet Oymak
Mahdi Soltanolkotabi
27
25
0
23 Oct 2016
Understanding Trainable Sparse Coding via Matrix Factorization
Understanding Trainable Sparse Coding via Matrix Factorization
Thomas Moreau
Joan Bruna
18
44
0
01 Sep 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson
Kristofer Schlachter
Pablo Sprechmann
Ken Perlin
41
528
0
13 Jul 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in
  Inverse Problems
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes
Yonina C. Eldar
A. Bronstein
Guillermo Sapiro
17
85
0
30 May 2016
Learning without Concentration
Learning without Concentration
S. Mendelson
85
334
0
01 Jan 2014
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