Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes.
Steffen DereichSebastian KassingPublished in: CoRR (2021)
Keyphrases
- stochastic gradient descent
- least squares
- step size
- loss function
- matrix factorization
- convergence rate
- iterative algorithms
- random forests
- support vector machine
- convergence speed
- online algorithms
- multiple kernel learning
- decision trees
- machine learning
- regularization parameter
- weight vector
- missing data
- logistic regression
- monte carlo
- pairwise
- similarity measure