Distributed Stochastic Gradient Tracking Algorithm With Variance Reduction for Non-Convex Optimization.
Xia JiangXianlin ZengJian SunJie ChenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- stochastic gradient
- convex optimization
- dynamic programming
- computational complexity
- monte carlo
- learning algorithm
- optimal solution
- probabilistic model
- kalman filter
- convergence rate
- np hard
- variance reduction
- cost function
- nearest neighbor
- text classification
- expectation maximization
- cross validation
- latent variables
- importance sampling
- stochastic gradient descent