Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning.
Zhiyuan LiYuping LuoKaifeng LyuPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- low rank
- stochastic gradient descent
- collaborative filtering
- missing data
- recommender systems
- low rank matrix
- matrix completion
- linear combination
- factorization methods
- convex optimization
- data matrix
- learning algorithm
- singular value decomposition
- nonnegative matrix factorization
- latent factors
- negative matrix factorization
- high order
- kernel matrix
- learning tasks
- missing values
- sparsity constraints
- trace norm
- active learning
- low rank matrices
- low rank matrix factorization