A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces.
Charline Le LanJoshua GreavesJesse FarebrotherMark RowlandFabian PedregosaRishabh AgarwalMarc G. BellemarePublished in: CoRR (2022)
Keyphrases
- stochastic gradient descent
- learning algorithm
- stochastic gradient
- least squares
- optimization algorithm
- objective function
- cost function
- matrix factorization
- incremental learning
- learning tasks
- similarity measure
- np hard
- expectation maximization
- optimal solution
- particle swarm optimization
- machine learning algorithms
- monte carlo
- dimensionality reduction
- supervised learning
- support vector machine
- random forests