Michael Albert

Orcid: 0000-0002-8478-3043

Affiliations:
  • 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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Timeline

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Bibliography

2025
Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games.
CoRR, April, 2025

2024
Learning in Online Principal-Agent Interactions: The Power of Menus.
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
AAAI/ACM SIGAI job fair 2020: a retrospective.
AI Matters, 2020

2018
Complexity of Scheduling Charging in the Smart Grid.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Traffic Optimization for a Mixture of Self-Interested and Compliant Agents.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Complexity of Scheduling Charging in the Smart Grid.
CoRR, 2017

Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms?
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Automated Design of Robust Mechanisms.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput.
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
Assessing the Robustness of Cremer-McLean with Automated Mechanism Design.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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