Learning in strategic and stochastic environments
This project lies at the interface of mathematical game theory, algorithmic
game theory, machine learning, optimization, and high-dimensional
probability. Despite its theoretical nature, it will be motivated by
applications in operations management, supply chain, algorithmic mechanism
design, online matching markets, computational social choice, queueing,
networks, etc.
Deadline: September 30, 2022 - 2 p.m. - Central European Summer Time
(CEST), UTC +2
Details available at
https://economiaefinanza.luiss.it/en/research/post-doc-fellowship/research-grants-2022
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Marco Scarsini
Dipartimento di Economia e Finanza
Luiss University
Viale Romania 32
00197 Roma, ITALY
URL: http://docenti.luiss.it/scarsini/
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