Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning.
Zhiyuan LiYuping LuoKaifeng LyuPublished in: ICLR (2021)
Keyphrases
- matrix factorization
- low rank
- stochastic gradient descent
- collaborative filtering
- missing data
- low rank matrix
- singular value decomposition
- linear combination
- factorization methods
- recommender systems
- convex optimization
- kernel matrix
- semi supervised
- nonnegative matrix factorization
- matrix completion
- learning algorithm
- high dimensional data
- small number
- high order
- data matrix
- latent factors
- data analysis
- optical flow
- high dimensional