Block-missing data in linear systems: An unbiased stochastic gradient descent approach.
Chelsea HuynhAnna MaMichael StrandPublished in: Allerton (2023)
Keyphrases
- missing data
- linear systems
- stochastic gradient descent
- matrix factorization
- sufficient conditions
- low rank
- dynamical systems
- loss function
- missing values
- incomplete data
- least squares
- step size
- nonnegative matrix factorization
- random forests
- negative matrix factorization
- search space
- image sequences
- multiple kernel learning
- high dimensional
- online algorithms
- bayesian networks