Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning.

Xuli Shen Xiaomei Wang Qing Xu Weifeng Ge Xiangyang Xue

Published in: ICDM (2022)

Keyphrases

data sets
robust optimization
deep learning
data driven
stochastic programming
unsupervised learning
mathematical programming
unsupervised feature learning
machine learning
lot sizing
semidefinite programming
weakly supervised
data mining
mental models
decision theory
markov random field