Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling.
Xinyu PengLi LiFei-Yue WangPublished in: CoRR (2019)
Keyphrases
- stochastic gradient descent
- importance sampling
- least squares
- loss function
- matrix factorization
- step size
- random forests
- monte carlo
- multiple kernel learning
- weight vector
- support vector machine
- random sampling
- regularization parameter
- sample size
- online algorithms
- markov chain
- image processing
- feature vectors
- pairwise