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A block coordinate descent optimizer for classification problems
  exploiting convexity

A block coordinate descent optimizer for classification problems exploiting convexity

17 June 2020
Ravi G. Patel
N. Trask
Mamikon A. Gulian
E. Cyr
    ODL
ArXivPDFHTML

Papers citing "A block coordinate descent optimizer for classification problems exploiting convexity"

3 / 3 papers shown
Title
Online Learning Under A Separable Stochastic Approximation Framework
Online Learning Under A Separable Stochastic Approximation Framework
Min Gan
Xiang-Xiang Su
Guang-yong Chen
Jing Chen
23
0
0
12 May 2023
slimTrain -- A Stochastic Approximation Method for Training Separable
  Deep Neural Networks
slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks
Elizabeth Newman
Julianne Chung
Matthias Chung
Lars Ruthotto
39
6
0
28 Sep 2021
Partition of unity networks: deep hp-approximation
Partition of unity networks: deep hp-approximation
Kookjin Lee
N. Trask
Ravi G. Patel
Mamikon A. Gulian
E. Cyr
14
30
0
27 Jan 2021
1