Quantum Kernel Alignment with Stochastic Gradient Descent.
Gian GentinettaDavid SutterChrista ZoufalBryce FullerStefan WoernerPublished in: QCE (2023)
Keyphrases
- stochastic gradient descent
- multiple kernel learning
- least squares
- matrix factorization
- loss function
- step size
- kernel function
- support vector machine
- random forests
- support vector
- kernel methods
- linear svm
- weight vector
- regularization parameter
- learning problems
- convergence rate
- machine learning
- kernel matrix
- feature space
- online algorithms
- input space
- svm classifier
- semi supervised learning
- cost function
- recommender systems
- feature selection