Michael Albert
Orcid: 0000-0002-8478-3043Affiliations:
- University of Virginia, School of Business, Computer Science, and Engineering Systems and Environments, Charlottesville, VA, USA
- Duke University, Department of Computer Science, Durham, NC, USA (2016 - 2018)
- University of Texas at Austin, Department of Computer Science, TX, USA (2015 - 2016)
- Ohio State University, Fisher College of Business, Columbus, OH, USA (2013 - 2015)
According to our database1,
Michael Albert
authored at least 12 papers
between 2015 and 2025.
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Bibliography
2025
Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games.
CoRR, April, 2025
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2022
Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization.
Oper. Res., 2022
2020
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms?
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) co-located with the 25th International Joint Conference On Artificial Intelligence (IJCAI 2016), 2016
Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015