Generalization is a testable hedging property of the learner's response law, recovered via f-divergence regularizers that induce information-geometric curves between training loss and sample dependence.
Wiley, 1990
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MCCO combines multistage stochastic programming and conditional stochastic optimization, solved via new multilevel Monte Carlo techniques with polynomial scenario complexity.
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Bounded-Rationality, Hedging, and Generalization
Generalization is a testable hedging property of the learner's response law, recovered via f-divergence regularizers that induce information-geometric curves between training loss and sample dependence.
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Multistage Conditional Compositional Optimization
MCCO combines multistage stochastic programming and conditional stochastic optimization, solved via new multilevel Monte Carlo techniques with polynomial scenario complexity.