Human-Machine Interaction Models and Stochastic Optimization

Explore the intersection of human-machine interactions and stochastic optimization in this 49-minute conference talk delivered by Thaleia Zariphopoulou from the University of Texas at Austin. Delve into the SIAM Invited Address, which covers a range of topics including expected utility problems, risk preference models, mean variance optimization, and inverse problems. Gain insights into the problem description, necessary background knowledge, and communication schedules related to human-machine interaction models. Engage with the presentation's structure, from the introduction to the final Q&A session, and enhance your understanding of this complex mathematical field.

Introduction
Presentation
Problem description
Background knowledge
Expected utility problems
Risk preference models
Mean variance optimization
Inverse problem
Communication schedule
Questions
Wrapup