Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models.
Kaiyue WenJiaye TengJingzhao ZhangPublished in: ICLR (2023)
Keyphrases
- classification models
- machine learning algorithms
- cross validation
- model selection
- decision trees
- training set
- probabilistic model
- support vector
- support vector machine
- machine learning
- data sets
- feature extraction
- text classification
- label noise
- optimization method
- expectation maximization
- worst case
- feature selection