Michael Albert

Education: B.S., James Madison University; M.S., Ph.D., Duke University

Assistant Professor Michael Albert teaches Quantitative Analysis courses in Darden’s MBA program, and he has joint appointments in Systems Engineering and Computer Science in the School of Engineering and Applied Sciences (SEAS) at UVA. His research focuses on combining machine learning and algorithmic techniques to automate the design of markets. His work has appeared in leading artificial intelligence and machine learning venues such as the Association for the Advancement of Artificial Intelligence (AAAI) and the International Joint Conference on Artificial Intelligence (IJCAI).

Prior to joining Darden in 2018, Albert received his Ph.D. in financial economics at Duke University’s Fuqua School of Business. He has also worked as a visiting assistant professor of finance at the Ohio State University, as a postdoctoral researcher at the Learning Agents Research Group at the University of Texas at Austin under Peter Stone, and as a postdoctoral researcher in the artificial intelligence group headed by Vincent Conitzer at Duke University.

Conference and Journal Publications

• Complexity of Scheduling Charge in the Smart Grid. Mathijs de Weerdt, Michael Albert, Vincent Conitzer, and Koos van der Linden. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 2018.
• Traffic Optimization For a Mixture of Self-interested and Compliant Agents. Guni Sharon, Michael Albert, Tarun Rambha, Steve Boyles, and Peter Stone. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA, USA, 2018.
• Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? Michael Albert, Vincent Conitzer, and Peter Stone. In Proceedings of the Sixteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-17), Sao Paolo, Brazil, 2017.
• Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks. Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Levin, Michael Albert, Stephen Boyles and Peter Stone. In Proceedings of the Sixteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-17), Sao Paolo, Brazil, 2017.
• Automated Design of Robust Mechanisms. Michael Albert, Vincent Conitzer, and Peter Stone. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, 2017.
• Minimum Cost Matching for Autonomous Carsharing. Josiah Hanna, Michael Albert, Donna Chen, and Peter Stone. In Proceedings of the Ninth IFAC Symposium on Intelligent Autonomous Vehicles (IAV-16), Leipzig, Germany, 2016.
• Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility. Michael Albert, Vincent Conitzer, and Giuseppe Lopomo. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoeniz, AZ, USA, 2016.
• Assessing the Robustness of Cremer-McLean with Automated Mechanism Design. Michael Albert, Vincent Conitzer, and Giuseppe Lopomo. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, USA, 2015.
• Adaptive Mesh Modeling and Barrier Option Pricing Under a Jump-Diffusion Process. Michael Albert, Jason Fink, and Kristen Fink. Journal of Financial Research, 31, 381-408, 2008.

Papers Under Review

Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization. Michael Albert, Vincent Conitzer, Guiseppe Lopomo, and Peter Stone. Working Paper, Revise and Resubmit at Operations Research, 2018.

Refereed Workshop Papers

Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput, Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Steve Boyles, and Peter Stone. In Proceeding of the 9th International Workshop on Agents in Traffic and Transportation (ATT 2016) 2016.

Working Papers

• Executive Compensation and Firm Leverage. Michael Albert. Working Paper, 2014.
• Financial Development, Intellectual Property Rights, and Growth. Michael Albert. Working Paper, 2011.
• ### Technical Reports
• Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas. Kara Kockelman, Stephen Boyles, Paul Avery, Christian Claudel, Lisa Loftus-Otway, Daniel Fagnant, Prateek Bansal, Michael Levin, Yong Zhao, Jun Liu, Lewis Clements, Wendy Wagner, Duncan Stewart, Guni Sharon, Michael Albert, Peter Stone, Josiah Hanna, Rahul Patel, Hagen Fritz, Teja Choudhary, Tianxin Li, Aqshems Nichols, Kapil Sharma, and Michelle Simoni. Texas Department of Transportation report FHWA/TX-16/0-6838-2, 2016.
• An Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs. Kara Kockelman, Stephen Boyles, Peter Stone, Dan Fagnant, Rahul Patel, Michael Levin, Guni Sharon, Michele Simoni, Michael Albert, Hagen Fritz, Rebecca Hutchinson, Prateek Bansal, Gleb Domnenko, Pavle Bujanovic, Bumsik Kim, Elham Pourrahmani, Sudesh Agrawal, Tianxin Li, Josiah Hanna, Aqshems Nichols, Jia Li, Mike Duncan, Chris Cunningham, Daniel J Findley, Joy Davis, Sarah Searcy, James Martin. Texas Department of Transportation report FHWA/TC-16/0-6838-2. 2017.