Frederic Koehler is a third year graduate student in the Department of Mathematics at MIT, broadly interested in the theory of machine learning and connections between learning and other fields. Before attending MIT, he completed an AB in mathematics at Princeton University. Recently, he 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.
- Foundations of Deep Learning, Summer 2019. Visiting Graduate Student.