Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting.
Ching-pei LeeLing LiangTianyun TangKim-Chuan TohPublished in: CoRR (2022)
Keyphrases
- low rank matrix factorization
- low rank
- convex optimization
- matrix factorization
- missing data
- recommender systems
- closed form solutions
- wavelet transform
- convex relaxation
- globally optimal
- matrix completion
- global minimum
- simulated annealing
- convex hull
- multiresolution
- feature selection
- search space
- knn
- data sets
- kernel matrix
- global minimizers
- machine learning