Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization.
Liwei JiangYudong ChenLijun DingPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- model free
- stochastic gradient descent
- reinforcement learning
- collaborative filtering
- function approximation
- recommender systems
- negative matrix factorization
- missing data
- low rank
- factorization methods
- nonnegative matrix factorization
- factor analysis
- probabilistic matrix factorization
- regularization parameter
- image classification
- item recommendation
- monte carlo
- unsupervised learning
- pattern recognition
- support vector
- feature extraction
- learning algorithm
- machine learning