Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
Maximilian KrahnMichele SasdelliFrances Fengyi YangVladislav GolyanikJuho KannalaTat-Jun ChinTolga BirdalPublished in: CoRR (2023)
Keyphrases
- stochastic gradient descent
- importance sampling
- least squares
- loss function
- matrix factorization
- step size
- random forests
- monte carlo
- support vector machine
- weight vector
- particle filtering
- particle filter
- markov chain
- decision trees
- multiple kernel learning
- online algorithms
- convergence speed
- kalman filter
- regularization parameter
- linear svm