A Proximal Block Coordinate Descent Algorithm for Deep Neural Network
Training

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training

24 March 2018

Tim Tsz-Kit Lau

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Papers citing "A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training"

14 / 14 papers shown

Title
Block Coordinate Descent for Neural Networks Provably Finds Global Minima Shunta Akiyama 20 2 0 26 Oct 2025
Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training Zeyu Liu Yunquan Zhang Yunquan Zhang Boyang Zhang Guoyong Jiang Xin Zhang L. Xiao Weifeng Zhang Daning Cheng 99 0 0 23 May 2025
Convergence Rates of Training Deep Neural Networks via Alternating Minimization MethodsOptimization Letters (Optim. Lett.), 2022 Jintao Xu Chenglong Bao W. Xing 113 5 0 30 Aug 2022
A Theoretical Framework for Inference LearningNeural Information Processing Systems (NeurIPS), 2022 Nick Alonso Beren Millidge J. Krichmar Emre Neftci 186 20 0 01 Jun 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization LandscapeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Devansh Bisla Jing Wang A. Choromańska 223 43 0 20 Jan 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 142 9 0 17 Dec 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal MethodsIEEE Computational Intelligence Magazine (IEEE CIM), 2021 Shiyu Duan José C. Príncipe MQ 231 4 0 09 Jan 2021
Task-Feature Collaborative Learning with Application to Personalized Attribute PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Zhiyong Yang Qianqian Xu Xiaochun Cao Qingming Huang 78 15 0 29 Apr 2020
Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural NetworksAnalysis and Applications (Anal. Appl.), 2019 Yeonjong Shin 203 13 0 14 Oct 2019
Contrastive Learning for Lifted NetworksBritish Machine Vision Conference (BMVC), 2019 Christopher Zach V. Estellers SSL 121 13 0 07 May 2019
Predict Globally, Correct Locally: Parallel-in-Time Optimal Control of Neural Networks P. Parpas Corey Muir OOD 120 12 0 07 Feb 2019
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network TrainingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 Fangda Gu Armin Askari L. Ghaoui 123 42 0 20 Nov 2018
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables A. Choromańska Benjamin Cowen Yara Rizk Ronny Luss Mattia Rigotti ... Brian Kingsbury Paolo Diachille V. Gurev Ravi Tejwani Djallel Bouneffouf 209 56 0 24 Jun 2018
Global Convergence of Block Coordinate Descent in Deep LearningInternational Conference on Machine Learning (ICML), 2018 Jinshan Zeng Tim Tsz-Kit Lau Shaobo Lin Yuan Yao 174 91 0 01 Mar 2018

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