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Solving two-stage stochastic integer programs via representation learning
Neural NetworksSolving stochastic integer programs (SIPs) is extremely intractable due to the high computational complexity. To solve two-stage SIPs efficiently, we propose a conditional variational autoencoder (CVAE) for scenario representation learning. A graph convolutional network (GCN) based VAE embeds scenarios into a low-dimensional latent space, conditioned ...
Yaoxin Wu +3 more
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Stochastic decomposition for risk-averse two-stage stochastic linear programs
Journal of Global OptimizationzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Prasad Parab +2 more
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INFORMS journal on computing, 2018
W. Ackooij, W. Oliveira, Yongjia Song
semanticscholar +1 more source
W. Ackooij, W. Oliveira, Yongjia Song
semanticscholar +1 more source
L-shaped decomposition of two-stage stochastic programs with integer recourse
Mathematical programming, 1998Claus C. Carøe, J. Tind
semanticscholar +1 more source
An Adaptive Partition-Based Approach for Solving Two-Stage Stochastic Programs with Fixed Recourse
SIAM Journal on Optimization, 2015Yongjia Song, James R. Luedtke
semanticscholar +1 more source
Quantitative stability of full random two-stage stochastic programs with recourse
Optimization Letters, 2015Youpan Han, Zhiping Chen
semanticscholar +1 more source
Simulation-based confidence bounds for two-stage stochastic programs
Mathematical programming, 2013P. Glynn, G. Infanger
semanticscholar +1 more source

