Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization.
Valentin DalibardMichael SchaarschmidtEiko YonekiPublished in: CoRR (2016)
Keyphrases
- stochastic gradient descent
- stochastic gradient
- least squares
- loss function
- step size
- matrix factorization
- random forests
- support vector machine
- weight vector
- global optimization
- online algorithms
- posterior probability
- pairwise
- bayesian networks
- decision trees
- importance sampling
- logistic regression
- prediction accuracy
- text categorization
- particle swarm optimization