Lifted Proximal Operator Machines

Lifted Proximal Operator Machines

5 November 2018

Cong Fang

Papers citing "Lifted Proximal Operator Machines"

8 / 8 papers shown

Title
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 31 5 0 02 Feb 2024
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons R. Høier D. Staudt Christopher Zach 26 11 0 02 Feb 2023
Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 18 11 0 08 Dec 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 59 69 0 09 Nov 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 20 3 0 09 Jan 2021
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 34 176 0 17 Aug 2019
Differentiable Linearized ADMM Xingyu Xie Jianlong Wu Zhisheng Zhong Guangcan Liu Zhouchen Lin 11 62 0 15 May 2019
Lifted Neural Networks Armin Askari Geoffrey Negiar Rajiv Sambharya L. Ghaoui 26 37 0 03 May 2018