Rong Ge

Rong Ge is broadly interested in theoretical machine learning. His research has focused on designing new algorithms with provable guarantees for problems like topic modeling, matrix completion, and deep neural networks. At IAS, he is interested in working on problems related to optimization and generalization of neural networks.