Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems.
Hesameddin MohammadiMeisam RazaviyaynMihailo R. JovanovicPublished in: CDC (2018)
Keyphrases
- quadratic optimization problems
- significant improvement
- orders of magnitude
- data mining algorithms
- benchmark datasets
- data mining techniques
- efficient optimization
- globally optimal
- graph theory
- times faster
- computational efficiency
- np complete
- data mining
- optimization problems
- markov random field
- worst case
- computational cost
- association rules
- computational complexity
- data structure
- image processing
- feature selection