Distributionally Robust Optimization and Generalization in Kernel Methods.
Matthew StaibStefanie JegelkaPublished in: NeurIPS (2019)
Keyphrases
- robust optimization
- kernel methods
- stochastic programming
- kernel function
- support vector
- mathematical programming
- machine learning
- feature space
- learning problems
- support vector machine
- kernel matrix
- semidefinite programming
- lot sizing
- learning tasks
- decision theory
- image processing
- theoretical framework
- multiple kernel learning
- pairwise
- lower bound