Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers.
Chen ZhuRenkun NiPing-Yeh ChiangHengduo LiFurong HuangTom GoldsteinPublished in: CoRR (2020)
Keyphrases
- convex relaxation
- training set
- lower bound
- convex optimization
- training examples
- multiple kernel learning
- training samples
- supervised learning
- decision trees
- upper bound
- data sets
- machine learning algorithms
- support vector
- multistage
- globally optimal
- feature selection
- learning algorithm
- high dimensional
- feature extraction
- optimization methods