Learning Distributionally Robust Models at Scale via Composite Optimization.
Farzin HaddadpourMohammad Mahdi KamaniMehrdad MahdaviAmin KarbasiPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- prior knowledge
- structured prediction
- learned models
- probabilistic model
- online learning
- knowledge acquisition
- learning scenarios
- learning tasks
- response surface
- accurate models
- learning problems
- optimization method
- experimental data
- computationally efficient
- learning process
- data sets
- learning models
- learning community
- optimization process
- hidden variables
- dynamic bayesian networks
- supervised learning
- reinforcement learning
- stochastic programming
- machine learning