Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling.
Difan ZouPan XuQuanquan GuPublished in: UAI (2021)
Keyphrases
- faster convergence
- stochastic gradient
- step size
- convergence speed
- stochastic gradient descent
- cost function
- convergence rate
- grassmann manifold
- nearest neighbor classifier
- global optimum
- random sampling
- pso algorithm
- sample size
- global optimization
- monte carlo
- loss function
- neural network
- genetic algorithm ga
- multiscale