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1811.08039
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Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
20 November 2018
Fangda Gu
Armin Askari
L. Ghaoui
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Papers citing
"Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training"
23 / 23 papers shown
A Unified Framework for Lifted Training and Inversion Approaches
Xiaoyu Wang
Alexandra Valavanis
Azhir Mahmood
Andreas Mang
Martin Benning
Audrey Repetti
182
0
0
10 Oct 2025
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers
International Workshop on Machine Learning for Signal Processing (MLSP), 2024
Xiaoyu Wang
Martin Benning
Audrey Repetti
204
0
0
16 Aug 2024
Hidden State Differential Private Mini-Batch Block Coordinate Descent for Multi-convexity Optimization
Ding Chen
Chen Liu
FedML
298
0
0
11 Jul 2024
Two Tales of Single-Phase Contrastive Hebbian Learning
R. Høier
Christopher Zach
234
2
0
13 Feb 2024
Parametric Matrix Models
Nature Communications (Nat. Commun.), 2024
Patrick Cook
Danny Jammooa
Morten Hjorth-Jensen
Daniel D. Lee
Dean Lee
PINN
324
9
0
22 Jan 2024
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
International Conference on Machine Learning (ICML), 2023
R. Høier
D. Staudt
Christopher Zach
509
14
0
02 Feb 2023
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods
Optimization Letters (Optim. Lett.), 2022
Jintao Xu
Chenglong Bao
W. Xing
198
5
0
30 Aug 2022
Lifted Bregman Training of Neural Networks
Journal of machine learning research (JMLR), 2022
Xiaoyu Wang
Martin Benning
164
8
0
18 Aug 2022
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
Guanhua Ye
Hongzhi Yin
Tong Chen
Miao Xu
Quoc Viet Hung Nguyen
Jiangning Song
174
9
0
17 Dec 2021
On Training Implicit Models
Neural Information Processing Systems (NeurIPS), 2021
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
484
95
0
09 Nov 2021
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
Binlong Zhang
Wei Zhou
135
24
0
01 Aug 2021
LocoProp: Enhancing BackProp via Local Loss Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Ehsan Amid
Rohan Anil
Manfred K. Warmuth
ODL
188
21
0
11 Jun 2021
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods
Christopher Zach
FedML
240
6
0
15 May 2021
Stochastic Block-ADMM for Training Deep Networks
Saeed Khorram
Xiao Fu
Mohamad H. Danesh
Chen Ma
Li Fuxin
295
3
0
01 May 2021
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Linbo Qiao
Tao Sun
H. Pan
Dongsheng Li
154
4
0
30 Jan 2021
Learning DNN networks using un-rectifying ReLU with compressed sensing application
W. Hwang
Shih-Shuo Tung
146
3
0
18 Jan 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
IEEE Computational Intelligence Magazine (IEEE CIM), 2021
Shiyu Duan
José C. Príncipe
MQ
488
8
0
09 Jan 2021
Lifted Regression/Reconstruction Networks
R. Høier
Christopher Zach
196
7
0
07 May 2020
Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks
Analysis and Applications (Anal. Appl.), 2019
Yeonjong Shin
332
13
0
14 Oct 2019
Implicit Deep Learning
SIAM Journal on Mathematics of Data Science (SIMODS), 2019
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
AI4CE
530
203
0
17 Aug 2019
Contrastive Learning for Lifted Networks
British Machine Vision Conference (BMVC), 2019
Christopher Zach
V. Estellers
SSL
204
12
0
07 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Neural Information Processing Systems (NeurIPS), 2019
Dinghuai Zhang
Tianyuan Zhang
Yiping Lu
Zhanxing Zhu
Bin Dong
AAML
481
387
0
02 May 2019
Global Convergence of Block Coordinate Descent in Deep Learning
International Conference on Machine Learning (ICML), 2018
Jinshan Zeng
Tim Tsz-Kit Lau
Shaobo Lin
Yuan Yao
255
96
0
01 Mar 2018
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