Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization.
Tian YeSimon S. DuPublished in: CoRR (2021)
Keyphrases
- global convergence
- low rank matrix factorization
- missing data
- matrix factorization
- low rank
- global optimum
- convergence rate
- convergence analysis
- recommender systems
- convergence speed
- optimization methods
- objective function
- convex minimization
- cost function
- stochastic gradient descent
- conjugate gradient
- particle swarm
- optimization method
- collaborative filtering
- loss function
- machine learning
- hybrid algorithm
- linear combination
- matrix completion
- gauss newton
- globally convergent
- simulated annealing
- optimal solution
- semi supervised
- singular value decomposition