A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators
Author:
Affiliation:
1. University of California Berkeley,Department of Industrial Engineering and Operations Research,Berkeley,CA,USA,94720
2. The University of Chicago,Booth School of Business,Chicago,IL,USA,60615
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406299/10407113/10407866.pdf?arnumber=10407866
Reference18 articles.
1. Wasserstein Generative Adversarial Networks;Arjovsky
2. On parameter estimation with the Wasserstein distance
3. Quantifying Distributional Model Risk via Optimal Transport
4. NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs
5. NIM: Modeling and Generation of Simulation Inputs Via Generative Neural Networks
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