Applied Math Seminar: Ryan O’Dowd (Claremont Graduate University)
Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United StatesTitle: Learning on manifolds without manifold learning Abstract: Function approximation based on data drawn randomly from an unknown distribution is an important problem in machine learning. The manifold hypothesis assumes that the data is sampled from an unknown submanifold of a high dimensional Euclidean space. A great deal of research deals with obtaining information about […]