Parallel Simultaneous Perturbation Optimization
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Publication:5223039
DOI10.1142/S021759591950009XzbMath1418.90181arXiv1704.00223OpenAlexW2964041046MaRDI QIDQ5223039
Publication date: 5 July 2019
Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1704.00223
Cites Work
- Optimization via simulation: A review
- Adaptive stochastic approximation by the simultaneous perturbation method
- On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning
- Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
- Acceleration of Stochastic Approximation by Averaging
- Numerical Optimization
- Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences
- Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm
- Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound
- Stochastic Estimation of the Maximum of a Regression Function
- A Stochastic Approximation Method
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