AccSGD {sjSDM} | R Documentation |
AccSGD
Description
accelerated stochastic gradient, see Kidambi et al., 2018 for details
Usage
AccSGD(kappa = 1000, xi = 10, small_const = 0.7, weight_decay = 0)
Arguments
kappa |
long step |
xi |
advantage parameter |
small_const |
small constant |
weight_decay |
l2 penalty on weights |
Value
Anonymous function that returns optimizer when called.
References
Kidambi, R., Netrapalli, P., Jain, P., & Kakade, S. (2018, February). On the insufficiency of existing momentum schemes for stochastic optimization. In 2018 Information Theory and Applications Workshop (ITA) (pp. 1-9). IEEE.
[Package sjSDM version 1.0.5 Index]