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Safeguarded Learned Convex Optimization

Safeguarded Learned Convex Optimization

4 March 2020
Howard Heaton
Xiaohan Chen
Zhangyang Wang
W. Yin
ArXivPDFHTML

Papers citing "Safeguarded Learned Convex Optimization"

19 / 19 papers shown
Title
From Learning to Optimize to Learning Optimization Algorithms
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera
Peter Ochs
85
1
0
28 May 2024
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
116
231
0
23 Mar 2021
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Aviad Aberdam
Alona Golts
Michael Elad
32
40
0
23 Jan 2020
Learning step sizes for unfolded sparse coding
Learning step sizes for unfolded sparse coding
Pierre Ablin
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
MQ
50
51
0
27 May 2019
Differentiable Linearized ADMM
Differentiable Linearized ADMM
Xingyu Xie
Jianlong Wu
Zhisheng Zhong
Guangcan Liu
Zhouchen Lin
36
62
0
15 May 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
131
1,367
0
15 Nov 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided
  Tree Search
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li
Qifeng Chen
V. Koltun
GNN
74
472
0
25 Oct 2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical
  Weights and Thresholds
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
Xiaohan Chen
Jialin Liu
Zhangyang Wang
W. Yin
49
231
0
29 Aug 2018
Learned D-AMP: Principled Neural Network based Compressive Image
  Recovery
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler
Ali Mousavi
Richard G. Baraniuk
44
285
0
21 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
86
1,453
0
05 Apr 2017
Understanding Trainable Sparse Coding via Matrix Factorization
Understanding Trainable Sparse Coding via Matrix Factorization
Thomas Moreau
Joan Bruna
35
44
0
01 Sep 2016
Learning to learn by gradient descent by gradient descent
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
77
2,000
0
14 Jun 2016
Learning to Optimize
Learning to Optimize
Ke Li
Jitendra Malik
41
256
0
06 Jun 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
42
85
0
30 May 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
52
167
0
05 May 2016
Learning A Task-Specific Deep Architecture For Clustering
Learning A Task-Specific Deep Architecture For Clustering
Zhangyang Wang
Shiyu Chang
Jiayu Zhou
Meng Wang
Thomas S. Huang
36
81
0
01 Sep 2015
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
J. Hershey
Jonathan Le Roux
F. Weninger
BDL
74
430
0
09 Sep 2014
A fast patch-dictionary method for whole image recovery
A fast patch-dictionary method for whole image recovery
Yangyang Xu
W. Yin
32
63
0
16 Aug 2014
Learning efficient sparse and low rank models
Learning efficient sparse and low rank models
Pablo Sprechmann
A. Bronstein
Guillermo Sapiro
142
192
0
14 Dec 2012
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