Keyphrases
- stochastic gradient descent
- least squares
- importance sampling
- loss function
- step size
- matrix factorization
- random forests
- monte carlo
- weight vector
- online algorithms
- multiple kernel learning
- support vector machine
- random sampling
- regularization parameter
- sample size
- markov chain monte carlo
- markov chain
- missing data
- convergence rate
- image processing