Office: GHC 9221
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213 USA
Email: gfarina AT cs.cmu.edu
Gabriele Farina
I am a sixth-year Ph.D. student in the Computer Science Department at Carnegie Mellon University, where I am fortunate to be advised by Tuomas Sandholm and to be part of the Electronic Marketplaces Lab.
I am a winner of the 2019-2020 Facebook Fellowship in economics and computation.
Before CMU, I was an undergraduate student at Politecnico di Milano, where I was fortunate to be advised by Nicola Gatti.
Curriculum Vitae Publications
Computational Game Solving (CMU 15-888, F21)
Lecture Notes
2021-09-09 | |
2021-09-14 | |
2021-09-16 | |
2021-09-21 | |
2021-09-28 | |
2021-09-30 | |
2021-10-05 | |
2021-10-07 | |
2021-11-11 | |
2021-11-16 |
All Material
Research Interests
My work lies at the intersection between artificial intelligence, computer science, operations research, and economics. My primary research interest focuses on the development and application of optimization methods for internet advertisement markets, as well as optimization related to convex-concave saddle point problems, with applications to equilibrium finding in games. Through my research, I strive to understand how optimization techniques can be leveraged to inform better decisions and outcomes under conditions involving uncertainty, hidden information, and different incentives for the agents involved.
Google Scholar
Regret-Based and First-Order Methods for Equilibrium Finding
Relevant, selected publications
ICML 2022
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EC 2021
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AAAI 2021
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NeurIPS 2019
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ICML 2019
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AAAI 2019
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Correlation and Coarse Correlation in Extensive-Form Games
Relevant, selected publications
EC 2022
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EC 2022
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STOC 2022
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NeurIPS 2020
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NeurIPS 2020
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AAAI 2020
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NeurIPS 2019
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NeurIPS 2019
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Multi-Player Team Games
Relevant, selected publications
ICML 2021
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NeurIPS 2018
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Equilibrium Perfection in Extensive-Form Games
Relevant, selected publications
NeurIPS 2021
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NeurIPS 2018
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IJCAI 2018
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IJCAI 2017
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AAAI 2017
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