Frederic Koehler is a third-year graduate student in the Department of Mathematics at MIT. Frederic is broadly interested in the theory of machine learning and connections between learning and other fields. Before coming to MIT, he completed an AB in mathematics at Princeton University. Recently, Frederic has been interested in understanding the algorithmic and statistical limits of learning in graphical models and other unsupervised settings, as well as in developing rigorous guarantees for inference using variational methods. In his free time, he helps organize the MIT Friends of the Arts club, which enables graduate students to attend local arts events at discounted prices.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Graduate Student.
- Foundations of Deep Learning, Summer 2019. Visiting Graduate Student.