Multi-reference alignment in high dimensions: sample complexity and phase transition.
Elad RomanovTamir BendoryOr OrdentlichPublished in: CoRR (2020)
Keyphrases
- phase transition
- high dimensions
- sample complexity
- theoretical analysis
- high dimensional data
- constraint satisfaction
- learning problems
- pac learning
- high dimensional
- vc dimension
- upper bound
- lower bound
- supervised learning
- generalization error
- special case
- active learning
- concept classes
- high dimensional spaces
- np complete
- poor quality
- learning algorithm
- decision lists
- sample size
- uniform distribution
- cellular automata
- random graphs
- nearest neighbor
- data sets
- learning tasks
- cross validation
- low dimensional
- dimensionality reduction
- uniform convergence