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• W2107308405 abstract "We consider an optimizing process (or parametric optimization problem), i.e., an optimization problem that depends on some parameters. We present a method for imputing or estimating the objective function, based on observations of optimal or nearly optimal choices of the variable for several values of the parameter, and prior knowledge (or assumptions) about the objective. Applications include estimation of consumer utility functions from purchasing choices, estimation of value functions in control problems, given observations of an optimal (or just good) controller, and estimation of cost functions in a flow network." @default.
• W2107308405 created "2016-06-24" @default.
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• W2107308405 date "2011-09-01" @default.
• W2107308405 modified "2023-10-17" @default.
• W2107308405 title "Imputing a convex objective function" @default.
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• W2107308405 doi "https://doi.org/10.1109/isic.2011.6045410" @default.
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