An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems.
Huiling ZhangZi XuPublished in: CoRR (2023)
Keyphrases
- objective function
- worst case
- cost function
- detection algorithm
- optimization algorithm
- quadratic optimization problems
- learning algorithm
- monte carlo
- np hard
- k means
- convergence rate
- combinatorial optimization
- optimal solution
- piecewise linear
- benchmark problems
- computational complexity
- dynamic programming
- np complete
- optimization problems
- preprocessing
- expectation maximization
- simulated annealing
- linear systems
- least squares
- mathematical programming
- convex functions
- energy function
- learning rate
- convex hull
- markov random field
- probabilistic model