Ongoing Projects
"Welfare-Maximizing Pooled Testing"

[arxiv]

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

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

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

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

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"Optimally Deceiving a Learning Leader in Stackelberg Games"

[Link]

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

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

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“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.

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“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.

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"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.

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

[Link]

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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.

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“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.

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“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.

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

[AAMAS 2021] [arxiv]

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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.

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"Learning Strong Substitutes Demand via Queries"

[WINE 2020] [arxiv]

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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

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"Fairness and Efficiency in DAG-based Cryptocurrencies"

[FC 2020] [arxiv]

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

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"Competing (Semi-)Selfish Miners in Bitcoin"

[AFT 2019] [arxiv]

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

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

[WINE 2018] [arxiv]

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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.

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

[SAGT 2016] [arxiv]

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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]
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Maximising the Utility of A Limited Number of COVID Tests [Link]