Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank.
Hung-Hsu ChouCarsten GieshoffJohannes MalyHolger RauhutPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- low rank
- stochastic gradient descent
- collaborative filtering
- recommender systems
- low rank matrix
- missing data
- matrix completion
- factorization methods
- data matrix
- singular values
- negative matrix factorization
- low rank matrices
- nonnegative matrix factorization
- convex optimization
- factorization method
- latent factors
- trace norm
- low rank matrix factorization
- loss function
- singular value decomposition
- missing values
- linear combination
- markov random field
- higher order
- denoising
- active learning
- learning algorithm
- machine learning