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2017 IJCAI IJCAI 2017

Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract)

Abstract

We examine theoretical properties of value of information (VOI) in the selection problem, and identify cases of submodularity and supermodularity. We use these properties to compute approximately optimal measurement batch policies, implemented on a “wine selection problem” example.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization

Authors

Shahaf S. Shperberg, Solomon Eyal Shimony

Topics

Artificial Intelligence > Core AI > Causal Inference Machine Learning > Learning Types > Active Learning Mathematics & Optimization > Probability > Stochastic Processes

Keywords

active learning value of information batch policy selection problem

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