Towards Asymptotic Optimality with Conditioned Stochastic Gradient Descent.
Rémi LelucFrançois PortierPublished in: CoRR (2020)
Keyphrases
- asymptotic optimality
- stochastic gradient descent
- asymptotically optimal
- least squares
- loss function
- online algorithms
- matrix factorization
- step size
- random forests
- flowshop
- sufficient conditions
- multiple kernel learning
- regularization parameter
- support vector machine
- weight vector
- cost function
- importance sampling
- upper bound
- steady state
- machine learning
- image restoration
- collaborative filtering