Other packages > Find by keyword >

madgrad  

'MADGRAD' Method for Stochastic Optimization
View on CRAN: Click here


Download and install madgrad package within the R console
Install from CRAN:
install.packages("madgrad")

Install from Github:
library("remotes")
install_github("cran/madgrad")

Install by package version:
library("remotes")
install_version("madgrad", "0.1.0")



Attach the package and use:
library("madgrad")
Maintained by
Daniel Falbel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-10
Latest Update: 2021-05-10
Description:
A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) .
How to cite:
Daniel Falbel (2021). madgrad: 'MADGRAD' Method for Stochastic Optimization. R package version 0.1.0, https://cran.r-project.org/web/packages/madgrad. Accessed 27 Jan. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited madgrad R package
View madgrad citation profile
Other R packages that madgrad depends, imports, suggests or enhances
Complete documentation for madgrad
Functions, R codes and Examples using the madgrad R package
Some associated functions: optim_madgrad . 
Some associated R codes: madgrad.R .  Full madgrad package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
intccr  
Semiparametric Competing Risks Regression under Interval Censoring
Semiparametric regression models on the cumulative incidence function for interval-censored competin ...
Download / Learn more Package Citations See dependency  
shinybrms  
Graphical User Interface ('shiny' App) for 'brms'
A graphical user interface (GUI) for fitting Bayesian regression models using the package 'brms' wh ...
Download / Learn more Package Citations See dependency  
mgm  
Estimating Time-Varying k-Order Mixed Graphical Models
Estimation of k-Order time-varying Mixed Graphical Models and mixed VAR(p) models via elastic-net re ...
Download / Learn more Package Citations See dependency  
AssetCorr  
Estimating Asset Correlations from Default Data
Functions for the estimation of intra- and inter-cohort correlations in the Vasicek credit portfolio ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,561

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA