Statistical Inference with Stochastic Gradient Algorithms.

Jeffrey Negrea Jun Yang Haoyue Feng Daniel M. Roy Jonathan H. Huggins

Published in: CoRR (2022)

Keyphrases

stochastic gradient
statistical inference
graphical models
nearest neighbor classifier
learning algorithm
bayesian networks
bayesian inference
data sets
machine learning
probabilistic model
low dimensional
machine learning algorithms
statistical models
statistical learning