Mathematical Conversations

Information geometry studies the mathematical properties of probabilistic models. Classically, we view the parameter space of a model as a Riemannian manifold, and use tools from differential geometry to study properties of the parameterized class of models. In this talk, I will motivate why Information geometry is relevant / important and give a few examples from recent research in machine learning.