Embedding Simulated Annealing within Stochastic Gradient Descent.
Matteo FischettiMatteo StringherPublished in: OLA (2021)
Keyphrases
- stochastic gradient descent
- simulated annealing
- least squares
- step size
- matrix factorization
- loss function
- genetic algorithm
- random forests
- evolutionary algorithm
- support vector machine
- genetic algorithm ga
- multiple kernel learning
- weight vector
- online algorithms
- regularization parameter
- particle swarm optimization pso
- importance sampling
- convergence speed
- bayesian networks
- linear svm
- learning algorithm