A Lagrangian Duality Approach to Active Learning.
Juan ElenterNavid NaderializadehAlejandro RibeiroPublished in: NeurIPS (2022)
Keyphrases
- active learning
- duality gap
- dual formulation
- linear programming
- random sampling
- pool based active learning
- semi supervised
- machine learning
- augmented lagrangian
- labeled data
- active learning strategies
- learning strategies
- unlabeled data
- training set
- optimal solution
- relevance feedback
- sample selection
- experimental design
- lagrangian relaxation
- selective sampling
- learning algorithm
- convex programming
- imbalanced data classification
- cost sensitive
- primal dual
- numerical methods
- class imbalance
- training examples
- supervised learning
- branch and bound algorithm
- set covering problem
- transfer learning
- inequality constraints
- semi supervised learning
- denoising
- lagrangian dual
- annotation effort
- pairwise
- information retrieval