Stochastic Approximate Gradient Descent via the Langevin Algorithm.
Yixuan QiuXiao WangPublished in: AAAI (2020)
Keyphrases
- cost function
- times faster
- objective function
- learning algorithm
- k means
- dynamic programming
- detection algorithm
- np hard
- high accuracy
- stochastic approximation
- optimization algorithm
- theoretical analysis
- experimental evaluation
- worst case
- simulated annealing
- expectation maximization
- search space
- matching algorithm
- preprocessing
- convergence rate
- piecewise linear
- computational complexity
- input data
- computationally efficient
- probabilistic model
- monte carlo
- exact solution