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CMA-ES with optimal covariance update and storage complexity
Oswin Krause
, Dídac Rodríguez Arbonès,
Christian Igel
Department of Computer Science
18
Citations (Scopus)
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Dive into the research topics of 'CMA-ES with optimal covariance update and storage complexity'. Together they form a unique fingerprint.
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Keyphrases
Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
100%
Covariance
100%
Covariance Matrix
66%
Cholesky Factor
50%
Numerical Stability
16%
Update Mechanism
16%
Monte Carlo Method
16%
Square Root
16%
Minimal Memory
16%
Multivariate Gaussian Distribution
16%
Machine Learning
16%
Derivative-free Optimization
16%
Value Function
16%
Memory Requirements
16%
Quadratic Time
16%
Matrix Updates
16%
Mathematics
Complexity Space
10%
Function Value
10%
Square Root of a Matrix
10%
Computer Science
Derivative-Free Optimization
10%