Lifted Proximal Operator Machines

Lifted Proximal Operator Machines

5 November 2018

Cong Fang

ArXiv (abs)PDF HTML

Papers citing "Lifted Proximal Operator Machines"

10 / 10 papers shown

Title
Lifted Neural Networks Armin Askari Geoffrey Negiar Rajiv Sambharya L. Ghaoui 106 37 0 03 May 2018
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks Ziming Zhang M. Brand 43 71 0 20 Nov 2017
Training Neural Networks Without Gradients: A Scalable ADMM Approach Gavin Taylor R. Burmeister Zheng Xu Bharat Singh Ankit B. Patel Tom Goldstein ODL 66 276 0 06 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,524 0 23 Nov 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 140 1,058 0 06 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 274 14,711 0 20 Jun 2014
Distributed optimization of deeply nested systems M. A. Carreira-Perpiñán Weiran Wang 102 195 0 24 Dec 2012
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 191 7,726 0 02 Mar 2011