Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.
Jordan T. AshChicheng ZhangAkshay KrishnamurthyJohn LangfordAlekh AgarwalPublished in: ICLR (2020)
Keyphrases
- lower bound
- active learning
- batch mode
- online algorithms
- upper bound
- online learning
- branch and bound
- objective function
- random sampling
- learning algorithm
- worst case
- np hard
- semi supervised
- wide variety
- decision making
- selective sampling
- learning strategies
- branch and bound algorithm
- supervised learning
- edge detection
- data sets
- lower and upper bounds
- machine learning
- real world
- labeled data
- batch processing
- upper and lower bounds
- sample complexity
- incremental learning
- incomplete information
- training examples
- learning process
- optimal solution
- generalization error
- experimental design
- transfer learning
- scheduling problem
- feature selection
- optimal cost
- active learning strategies