New Methods for Learning from Heterogeneous and Strategic Agents
1 Introduction In this doctoral thesis, we address several representative problems that arise in the context of learning from multiple heterogeneous agents. These problems are relevant to many modern applications such as crowdsourcing and internet advertising. In scenarios such as crowdsourcing, th...
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| Language: | en_US |
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2018
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| Online Access: | http://etd.iisc.ernet.in/2005/3562 http://etd.iisc.ernet.in/abstracts/4430/G28407-Abs.pdf |