Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning.
Esther RolfMax SimchowitzSarah DeanLydia T. LiuDaniel BjörkegrenMoritz HardtJoshua BlumenstockPublished in: ICML (2020)
Keyphrases
- noisy data
- machine learning
- machine learning algorithms
- training data
- machine learning methods
- decision trees
- machine learning approaches
- roc analysis
- supervised classification
- noise tolerant
- feature selection
- high dimensional
- support vector
- noise free
- roc curve
- learning algorithm
- learning from noisy data
- missing data
- input data
- supervised learning
- pattern recognition
- training set
- classifier ensemble
- high dimensionality
- classification algorithm
- computer vision
- missing values
- semi supervised learning
- inductive learning
- data mining
- feature ranking
- ensemble classifier
- learning classifier systems
- text classification
- naive bayes
- class labels