Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.
Jordan T. AshChicheng ZhangAkshay KrishnamurthyJohn LangfordAlekh AgarwalPublished in: CoRR (2019)
Keyphrases
- lower bound
- active learning
- batch mode
- online algorithms
- upper bound
- decision making
- random sampling
- branch and bound algorithm
- learning strategies
- online learning
- semi supervised
- upper and lower bounds
- worst case
- incremental learning
- selective sampling
- objective function
- wide variety
- np hard
- learning algorithm
- training examples
- incomplete information
- branch and bound
- lower and upper bounds
- supervised learning
- relevance feedback
- lower bounding
- training set
- active learning strategies
- machine learning
- sample complexity
- learning process
- optimal solution
- real world
- vc dimension
- gradient information
- edge detection
- batch processing
- optimal cost
- pool based active learning