Active Learning as Non-Convex Optimization.
Andrew GuilloryErick ChastainJeff A. BilmesPublished in: AISTATS (2009)
Keyphrases
- convex optimization
- active learning
- semi supervised
- low rank
- interior point methods
- convex relaxation
- machine learning
- convex formulation
- training set
- learning algorithm
- total variation
- labeled data
- supervised learning
- primal dual
- norm minimization
- convex optimization problems
- convex constraints
- basis pursuit
- optimization problems
- learning process
- feature space
- operator splitting
- semi supervised learning
- computer vision