A Linearly-Convergent Stochastic L-BFGS Algorithm.
Philipp MoritzRobert NishiharaMichael I. JordanPublished in: AISTATS (2016)
Keyphrases
- learning algorithm
- experimental evaluation
- convergence rate
- dynamic programming
- computational cost
- computational complexity
- optimal solution
- improved algorithm
- times faster
- high accuracy
- reinforcement learning
- cost function
- np hard
- segmentation algorithm
- detection algorithm
- monte carlo
- memory requirements
- hidden markov models
- genetic algorithm
- similarity measure
- k means
- optimization algorithm
- tree structure
- search space
- image sequences
- preprocessing