Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components.
Soumyabrata PalPrateek VarshneyGagan MadanPrateek JainAbhradeep ThakurtaGaurav AggarwalPradeep ShenoyGaurav SrivastavaPublished in: AISTATS (2024)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- matrix factorization
- collaborative filtering
- linear combination
- convex optimization
- robust principal component analysis
- low rank subspace
- recommender systems
- missing data
- group sparsity
- nuclear norm
- matrix completion
- low rank representation
- singular value decomposition
- high order
- trace norm
- matrix decomposition
- low rank approximation
- sparsity constraints
- high dimensional data
- regularized regression
- tensor decomposition
- low rank and sparse
- semi supervised
- data mining
- minimization problems
- kernel matrix
- sparse coding
- pattern recognition