Optimizing Low Dimensional Functions over the Integers.
Daniel DadushArthur LéonardLars RohwedderJosé VerschaePublished in: CoRR (2023)
Keyphrases
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- manifold learning
- euclidean space
- input space
- dimension reduction
- feature space
- principal component analysis
- nonlinear dimensionality reduction
- real time
- subspace learning
- information retrieval
- data points
- multiscale
- similarity measure
- learning algorithm
- multidimensional scaling
- data sets