Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

Show notes

The unfortunate reality is that many of the most commonly used machine learning metrics don't account for the complex trade-offs that come with real-world decision making. This is one of the challenges that Sanmi Koyejo, assistant professor at the University of Illinois, has dedicated his research to address. Sanmi applies his background in cognitive science, probabilistic modeling, and Bayesian inference to pursue his research which focuses broadly on “adaptive and robust machine learning.”

Guests

Sanmi Koyejo

Assistant Professor

Stanford UniversityUniversity of Illinois