Economics and Artificial Intelligence

• Learning to Mitigate AI Collusion on Economic Platforms
  with Nicolas Lepore, Eric Mibuari, and David C. Parkes (alphabetical)
  in Workshop on Learning with Strategic Agents at AAMAS 2022.

• iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding
  Benjamin Lubin, Sven Seuken, Manuel Beyeler, and Gianluca Brero
  in arXiv:2009.13605, August 2021 (supersedes the EC'21 version below).

• Learning Stackelberg Equilibria in Sequential Price Mechanisms
  with Darshan Chakrabarti, Alon Eden, Matthias Gerstgrasser, Vincent Li, and David C. Parkes (alphabetical)
  in Workshop for Reinforcement Learning Theory at ICML 2021.

• iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding
  Manuel Beyeler, Gianluca Brero, Benjamin Lubin, and Sven Seuken
  in Proceedings of the Twenty-second ACM Conference on Economics and Computation, Budapest, Hungary, July 2021.

• Reinforcement Learning of Sequential Price Mechanisms
  with Alon Eden, Matthias Gerstgrasser, David C. Parkes, and Duncan Rheingans-Yoo (alphabetical)
  in Proceedings of the Thirty-fifth AAAI Conference of Artificial Intelligence, virtual conference, February 2021.
  Also appeared in ML for Economic Policy Workshop at NeurIPS 2020.

• Machine Learning-powered Iterative Combinatorial Auctions
  with Benjamin Lubin and Sven Seuken (alphabetical)
  in arXiv:1911.08042, September 2021.

• Machine Learning-powered Iterative Combinatorial Auctions (PhD Thesis)
  PhD Thesis, April 2020.

• Fast Iterative Combinatorial Auctions via Bayesian Learning
  with Sébastien Lahaie and Sven Seuken
  in Proceedings of the Thirty-third AAAI Conference of Artificial Intelligence, Honolulu, USA, January 2019.

• Combinatorial Auctions via Machine Learning-based Preference Elicitation
  with 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, Stockholm, Sweden, July 2018.

• A Bayesian Clearing Mechanism for Combinatorial Auctions
  with Sébastien Lahaie
  in Proceedings of the Thirty-second AAAI Conference of Artificial Intelligence, New Orleans, USA, February 2018.

• Probably Approximately Efficient Combinatorial Auctions via Machine Learning
  with Benjamin Lubin and Sven Seuken
  in Proceedings of the Thirty-first AAAI Conference of Artificial Intelligence, San Francisco, USA, February 2017.

• Dynamics in Network Games with Local Coordination and Global Congestion Effects
  with Giacomo Como and Fabio Fagnani
  in Proceedings of the Fifty-third IEEE Conference on Decision and Control, Los Angeles, USA, December 2014.

Chemistry Education

• HaptiChem: Haptic and Visual Support in Interactions with the Microscopic World
  Elisa Magnanelli*, Gianluca Brero, Rosa Virginia Espinoza Garnier, Giacomo Mazzoletti, Alessandro Maria Rizzi, and Sara Comai
  in Proceedings of the International Conference on Learning and Collaboration Technologies, Heraklion, Greece, June 2014.