Assessing the Robustness of Cremer-McLean with Automated Mechanism Design. - Michael Albert 002; Vincent Conitzer; Giuseppe Lopomo (AAAI, 2015)

Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility. - Michael Albert 002; Vincent Conitzer; Giuseppe Lopomo (AAAI, 2016)

Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput. - Guni Sharon; Josiah Hanna; Tarun Rambha; Michael Albert 002; Peter Stone 001; Stephen D. Boyles (ATT@IJCAI, 2016)

Automated Design of Robust Mechanisms. - Michael Albert 002; Vincent Conitzer; Peter Stone 001 (AAAI, 2017)

Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? - Michael Albert 002; Vincent Conitzer; Peter Stone 001 (AAMAS, 2017)

Complexity of Scheduling Charging in the Smart Grid. - Mathijs de Weerdt; Michael Albert 002; Vincent Conitzer (CoRR, 2017)

Traffic Optimization for a Mixture of Self-Interested and Compliant Agents. - Guni Sharon; Michael Albert 002; Tarun Rambha; Stephen D. Boyles; Peter Stone 001 (AAAI, 2018)

Complexity of Scheduling Charging in the Smart Grid. - Mathijs de Weerdt; Michael Albert 002; Vincent Conitzer; Koos van der Linden (IJCAI, 2018)

AAAI/ACM SIGAI job fair 2020: a retrospective. - Michael Albert 002; John P. Dickerson (AI Matters, 2020)

Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization. - Michael Albert 002; Vincent Conitzer; Giuseppe Lopomo; Peter Stone 001 (Oper. Res., 2022)

Learning in Online Principal-Agent Interactions: The Power of Menus. - Minbiao Han; Michael Albert 002; Haifeng Xu (AAAI, 2024)

Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games. - Michael Albert 002; Quinlan Dawkins; Minbiao Han; Haifeng Xu (CoRR, 2025)