Ongoing Projects
"Welfare-Maximizing Pooled Testing"

[arxiv]

E. Lock, F. Marmolejo-Cossío, E. Micha, A. Procaccia

 
Journal Publications
“Learning Strong Substitutes Demand via Queries”
[Link]

P. Goldberg, E. Lock, F. Marmolejo-Cossío

In ACM Transactions on Economics and Computation (TEAC). Supersedes WINE version below. Jun 2022

"Optimally Deceiving a Learning Leader in Stackelberg Games"

[Link]

G. Birmpas, J. Gan, A. Hollender, F. Marmolejo-Cossío, N. Rajgopal, A. Voudouris

In Journal of Artificial Intelligence Research (JAIR), Supersedes NeurIPS version below.

“Health Sentinel: A mobile crowdsourcing platform for self­ reported surveys provides early detection of COVID- ­19 clusters in San Luis Potosí, Mexico”
[Link]

 

S. Ruiz­-Correa, R. López-­Revilla, F. Díaz­-Barriga, F. Marmolejo­-Cossío, V. Robledo-­Valero, E. Hernández­ Huérfano, L. Álvarez -Rivera, M. Rangel­-Martínez, M. Lutzow­-Steiner, L. Ortiz-­Vázquez, A. Mendoza-­Lara M. Olivo­-Rodríguez, M. Galván-­Ramírez, A. Morales­-Neria, V. Martínez­-Donjuan, M. Cervantes­-Irurzo, A. Comas-García, F. Maldonado, C. Aguilar-­Acosta.

In International Journal of Medical Informatics, Sep 2021.

“Concentrating Pooled COVID-19 Patient Lysates to Improve Reverse Transcription Quantitative PCR Sensitivity and Efficiency”

[Link]
 

H. Sanghani, D. Nawrot, F. Marmolejo-Cossío, J. Taylor, J. Craft, E. Kalimeris, M. Andersson, S. Vasudevan,
In Clinical Chemistry. May 2021.

"Learning Convex Partitions and Computing Game-theoretic Equilibria from Best Response Queries"​

[Link]
 

P. W. Goldberg, F. Marmolejo-Cossío
Selected for special edition of ACM Transactions on Economics and Computation (TEAC)

Supersedes WINE version below. Mar 2021.

"Logarithmic Query Complexity for Approximate Nash Computation in Large Games"​

[Link]

P. W. Goldberg, F. Marmolejo-Cossío, Zhiwei Steven Wu

In Theory of Computing Systems (TOCS). Supersedes SAGT version below. Jan 2019.

 
Conference Publications
“Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design”
[ICAIF 2022] [arxiv]

 

Ben Altschuler, Zhou Fan, F. Marmolejo-Cossío, David C. Parkes, He Sun, Xintong Wang.
In Proceedings of 3rd ACM International Conference on AI in Finance (ICAIF), Nov 2022.

“Decentralised Update Selection with Semi-Strategic Experts”

[SAGT 2022] [arxiv]
 

G. Amanatidis, G. Birmpas, P. Lazos, F. Marmolejo-Cossío
In Proceedings of 15th International Symposium on Algorithmic Game Theory (SAGT), Oct 2022.

“Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19”

[EAAMO 2021]
 

E. Lock, F. Marmolejo-Cossío, J. Jonnerby, N. Rajgopal, H. Guzmán-Gutiérrez, L. Benavides-Vázquez, R. Tello-Ayala, P. Lazos
In Proceedings of 1st ACM Conference on Equity and Access in Algorithms, Mechanisms and Optimization (EAAMO), Oct 2021.

"RPPLNS: Pay-per-last-N-shares with a Randomised Twist"

[AAMAS 2021] [arxiv]

P. Lazos, F. Marmolejo-Cossio, J. Katz, X. Zhou

In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems, May 2021.

 

“Optimally Deceiving a Learning Leader in Stackelberg Games”

[NeurIPS 2020] [arxiv]
 

G. Birmpas, J. Gan, A. Hollender, F. Marmolejo-Cossío, N. Rajgopal, A. Voudouris
In Proceedings of Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), Dec 2020.

"Learning Strong Substitutes Demand via Queries"

[WINE 2020] [arxiv]

P. Goldberg, E. Lock, F. Marmolejo-Cossío
In Proceedings of The 16th Conference on Web and Internet Economics (WINE), Dec 2020.

Nominated for Best Paper


 

"Fairness and Efficiency in DAG-based Cryptocurrencies"

[FC 2020] [arxiv]

G. Birmpas, E. Koutsoupias, P. Lazos, F. Marmolejo-Cossío
In Proceedings of 24th International Conference on Financial Cryptography and Data Security (FC), Feb 2020.

"Competing (Semi-)Selfish Miners in Bitcoin"

[AFT 2019] [arxiv]

F. Marmolejo-Cossío, E. Brigham, B. Sela, J. Katz
In Proceedings of 1st ACM conference on Advances in Financial Technologies (AFT), Oct 2019.

"Learning Convex Partitions and Computing Game-theoretic Equilibria from Best Response Queries"

[WINE 2018] [arxiv]

P. Goldberg, F. Marmolejo-Cossío
In Proceedings of 14th Conference on Web and Internet Economics (WINE).
Selected for special edition of ACM Transactions on Economics and Computation (TEAC), Dec 2018.

"Logarithmic Query Complexity for Approximate Nash Computation in Large Games"

[SAGT 2016] [arxiv]

P. Goldberg, F. Marmolejo-Cossío, and Z. Steven Wu
In Proceedings of 9th International Symposium on Algorithmic Game Theory (SAGT).
Selected for special edition of Theory of Computing Systems (TOCS), Sep 2016.

 
Reports & Workshop Papers
"Novel Practices and Highlights from the Fourth Workshop on Mechanism Design for Social Good" 
[Link]

F. Marmolejo-Cossío, F. Monachou
In in ACM SIGAI AI Matters, Mar 2021.



"Maximising the Benefits of an Acutely Limited Number of COVID-19 Tests" 
[Link]


J. Jonnerby, P. Lazos, E. Lock, F. Marmolejo-Cossío, C. Ramsay, D. Sridhar
In Harvard AI for Social Good Workshop (2020).
 
Presentation Slides
Strategic and Structural Aspects of Bitcoin Mining [Link]

Optimally Deceiving a Learning Leader in Stackelberg Games [Link]
Maximising the Utility of A Limited Number of COVID Tests [Link]