On the challenges of learning with inference networks on sparse, high-dimensional data.
Rahul G. KrishnanDawen LiangMatthew D. HoffmanPublished in: AISTATS (2018)
Keyphrases
- high dimensional data
- high dimensional
- low dimensional
- dimensionality reduction
- data points
- nearest neighbor
- learning algorithm
- high dimensionality
- sparse representation
- high dimensions
- subspace clustering
- similarity search
- clustering high dimensional data
- dimension reduction
- real world
- active learning
- feature space
- low rank
- neural network
- data sets
- database