Provable Randomized Coordinate Descent for Matrix Completion.
Matthew CallahanTrung VuRaviv RaichPublished in: ICASSP (2024)
Keyphrases
- matrix completion
- stochastic gradient descent
- low rank
- singular values
- logistic regression
- collaborative filtering
- matrix factorization
- incomplete data
- missing data
- step size
- least squares
- rank aggregation
- missing values
- pairwise
- loss function
- denoising
- random forests
- convex relaxation
- singular value decomposition
- theoretical guarantees
- protein interaction networks
- nearest neighbor