Publications

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.


About me


I'm currently advised by Tuomas Sandholm. In the past, I've been advised by Nicola Gatti.

I am part of the Electronic Marketplaces Lab (EM) at CMU.


Want to get in touch? gfarina AT cs.cmu.edu.

Conference papers

Decision Making, Optimization, and Computational Game Theory

EC 2021
pdf
ICML 2021
pdf
AAAI 2021
pdf
AAAI 2021
pdf
AAAI 2021
pdf
NeurIPS 2020
pdf
NeurIPS 2020
pdf
ICML 2020
pdf
AAAI 2020
pdf
NeurIPS 2019
pdf
NeurIPS 2019
pdf
NeurIPS 2019
pdf
ICML 2019
pdf
ICML 2019
pdf
AAAI 2019
pdf
AAAI 2019
pdf
NeurIPS 2018
pdf
NeurIPS 2018
pdf
NeurIPS 2018
pdf
IJCAI 2018
pdf
AAAI 2018
pdf
ICML 2017
pdf
IJCAI 2017
pdf
AAAI 2017
pdf

Kidney Exchange

IJCAI 2017
pdf
American Transplant Congress 2017

Algorithms and Data Structures

ICAPS 2019
AAAI 2016
pdf

Auctions and Mechanism Design

AAAI 2016
pdf

Journal papers

Auctions and Mechanism Design

JAIR 2017
pdf

Refereed workshop papers

See my CV for a complete list.