momentum: Momentum SGD optimization
In ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions
momentum R Documentation
Momentum SGD optimization
Description
Momentum SGD optimization
Usage
momentum(stepsize = 0.05, beta1 = 0.9, beta2 = 1 - beta1)
Arguments
stepsize
stepsize for SGD
beta1
beta1 for momentum
beta2
beta2 for momentum
Details
The update rule for momentum is:
v_t = \beta_1 v_{t-1} + \beta_2 g_t
x_{t+1} = x_t - \text{stepsize} * v_t
Value
a list of control variables for optimization
(used in control_opt function)
ngme2 documentation built on May 20, 2026, 9:10 a.m.
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| momentum | R Documentation |
Momentum SGD optimization
Description
Momentum SGD optimization
Usage
momentum(stepsize = 0.05, beta1 = 0.9, beta2 = 1 - beta1)
Arguments
stepsize |
stepsize for SGD |
beta1 |
beta1 for momentum |
beta2 |
beta2 for momentum |
Details
The update rule for momentum is:
v_t = \beta_1 v_{t-1} + \beta_2 g_t
x_{t+1} = x_t - \text{stepsize} * v_t
Value
a list of control variables for optimization
(used in control_opt function)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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