An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization.
Anton DereventsovClayton G. WebsterJoseph D. Daws Jr.Published in: CoRR (2020)
Keyphrases
- stochastic gradient
- high dimensional
- stochastic gradient descent
- nearest neighbor classifier
- step size
- grassmann manifold
- low dimensional
- similarity search
- dimensionality reduction
- high dimensional data
- matrix factorization
- global optimization
- machine learning
- training samples
- markov chain
- nearest neighbor
- feature space
- genetic algorithm