Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD).
Qi QianRong JinJinfeng YiLijun ZhangShenghuo ZhuPublished in: Mach. Learn. (2015)
Keyphrases
- stochastic gradient descent
- online algorithms
- least squares
- loss function
- step size
- matrix factorization
- random forests
- multiple kernel learning
- distance metric
- metric learning
- monte carlo
- regularization parameter
- image restoration
- optimal solution
- convergence rate
- collaborative filtering
- upper bound
- support vector machine
- active learning