Quantum Kernel Alignment with Stochastic Gradient Descent.
Gian GentinettaDavid SutterChrista ZoufalBryce FullerStefan WoernerPublished in: CoRR (2023)
Keyphrases
- stochastic gradient descent
- multiple kernel learning
- least squares
- loss function
- matrix factorization
- step size
- kernel function
- kernel methods
- support vector
- support vector machine
- weight vector
- random forests
- linear combination
- linear svm
- feature space
- regularization parameter
- online algorithms
- feature selection
- convergence rate
- image sequences
- importance sampling
- objective function
- kernel matrix
- learning models
- missing data
- high dimensional
- image restoration