Automated Mechanism Design for Strategic Classification - Vincent Conitzer

Explore the intricacies of automated mechanism design for strategic classification in this 58-minute conference talk presented at KDD. Delve into key concepts including the revelation principle, optimization techniques, and feature space analysis. Gain insights into the assumptions, variants, and potential future research directions in this field. Learn why involvement in this area is crucial and understand the broader context of mechanism design. Engage with the speaker's takeaways and participate in the question-and-answer session to deepen your understanding of this complex topic in computer science and machine learning.

Introduction
Presentation
Context
Takeaways
Why get involved
Mechanism Design
Variants
Automated Mechanism Design
Revelation Principle
Assumptions
Optimization
Generalization
Feature Space
Feature Values
Results
Future research
Questions