Asymptotic Analysis of Conditioned Stochastic Gradient Descent.
Rémi LelucFrançois PortierPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- asymptotic analysis
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- fluid model
- step size
- random forests
- weight vector
- multiple kernel learning
- support vector machine
- online algorithms
- importance sampling
- regularization parameter
- computational complexity
- random forest
- ensemble methods
- cross validation
- cost function
- recommender systems
- lower bound