Block-missing data in linear systems: An unbiased stochastic gradient descent approach.
Chelsea HuynhAnna MaMichael StrandPublished in: CoRR (2023)
Keyphrases
- missing data
- linear systems
- stochastic gradient descent
- matrix factorization
- low rank
- dynamical systems
- sufficient conditions
- loss function
- missing values
- nonnegative matrix factorization
- least squares
- step size
- negative matrix factorization
- incomplete data
- weight vector
- multiple kernel learning
- random forests
- regularization parameter
- probabilistic model
- online algorithms
- bayesian networks
- training data
- text classification