Gianluca Brero

Gianluca Brero

 

Gianluca Brero
Ph.D. Student
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.B.19
Tel +41 44 635 45 63
Email brero at ifi.uzh.ch

Short Bio

Since September 2014, Gianluca is a Ph.D. student advised by Prof. Sven Seuken in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. In 2014, he received a M.Sc. in Mathematical Engineering from Turin Polytechnic with a final thesis on games over networks supervised by Prof. Giacomo Como. From 2012 to 2014, he has also attended the Alta Scuola Politecnica, an educational joint venture of Milan Polytechnic and Turin Polytechnic that focuses on multidisciplinarity and innovation. During Summer 2016, he was a research intern at the Microsoft Research Lab – New York City where he worked on Bayesian methods for market clearing advised by Sébastien Lahaie.

[CV]

Research Interests

Mechanism Design, Market Design, Combinatorial Auctions, Artificial Intelligence, Machine Learning

Working Papers

  • Machine Learning-powered Iterative Combinatorial Auctions. [pdf]
    Gianluca Brero, Benjamin Lubin, and Sven Seuken. 

Publications

  • Fast Iterative Combinatorial Auctions via Bayesian Learning. [pdf]
    Gianluca Brero, Sébastien Lahaie, and Sven Seuken. 
    In Proceedings of the Thirty-third AAAI Conference of Artificial Intelligence (AAAI-19), Honolulu, USA, January 2019.
  • Combinatorial Auctions via Machine Learning-based Preference Elicitation. [pdf]
    Gianluca Brero, Benjamin Lubin, and Sven Seuken. 
    In Proceedings of the Twenty-seventh International Joint Conference on Artificial Intelligence and the Twenty-third European Conference on Artificial Intelligence (IJCAI-ECAI-18), Stockholm, Sweden, July 2018.
  • A Bayesian Clearing Mechanism for Combinatorial Auctions. [pdf] [extended]
    Gianluca Brero and Sébastien Lahaie. 
    In Proceedings of the Thirty-second AAAI Conference of Artificial Intelligence (AAAI-18), New Orleans, USA, February 2018.
  • Probably Approximately Efficient Combinatorial Auctions via Machine Learning. [pdf]
    Gianluca Brero, Benjamin Lubin, and Sven Seuken. 
    In Proceedings of the Thirty-first AAAI Conference of Artificial Intelligence (AAAI-17), San Francisco, USA, February 2017.
  • Dynamics in Network Games with Local Coordination and Global Congestion Effects. [pdf]
    Gianluca Brero, Giacomo Como, and Fabio Fagnani. 
    In Proceedings of the Fifty-third IEEE Conference on Decision and Control (CDC-14), Los Angeles, USA, December 2014.

Teaching

Advised Theses

  • Reducing Bidding Complexity in Machine Learning-Based Combinatorial Auctions
    Bachelor Thesis by Nicolas Kuechler. 2017.

  • Computational Bayes-Nash Equilibrium Analysis of Overbidding Strategies in Combinatorial Auctions  
    Bachelor Thesis by Andreas Perschak. 2015.