Weighted sparsity and sparse tensor networks for least squares approximation.
Philipp TrunschkeAnthony NouyMartin EigelPublished in: CoRR (2023)
Keyphrases
- least squares
- sparse approximation
- tensor factorization
- sparse representation
- sparse approximations
- sparse linear
- high dimensional
- tensor decomposition
- tensor product
- social networks
- sparsity constraints
- higher order
- closed form
- mixed norm
- robust estimation
- orthogonal matching pursuit
- weight function
- dimensionality reduction
- high order
- linear combination
- complex networks
- canonical correlation analysis
- compressive sensing
- gaussian process
- sparse coding
- diffusion tensor
- approximation algorithms
- matrix factorization
- collaborative filtering
- regularized regression
- marginal likelihood
- sparse matrix
- negative matrix factorization
- dictionary learning
- weighted graph
- community structure