Skip to main content

Table 3 The performance of different algorithms for sigmod regression

From: General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization

Test indicator

Method

Group 1

Group 2

Group 3

Group 4

CPU-time(s)

GIProx-SVRG

29.7

86.1

707.7

793.6

Prox-SVRG

44.1

147.3

1132.2

1205.6

Prox-SGD

34.7

156.3

238.5

267.3

Iteration

GIProx-SVRG

2145

978

3248

2256

Prox-SVRG

3859

1920

5549

3874

Prox-SGD

5000

10,000

10,000

10,000

Fvalue

GIProx-SVRG

0.3608

0.4982

0.2482

0.3088

Prox-SVRG

0.3608

0.4982

0.2482

0.3088

Prox-SGD

0.4697

0.4999

0.3426

0.4100