This episode features NeurIPS 2019 Outstanding New Directions Paper Award winners, Vaishnavh Nagarajan and J. Zico Kolter from Carnegie Mellon University, co-authors of “Uniform convergence may be unable to explain generalization in deep learning”. They shared surprising results from their recent theoretical analysis and what it implies for deep learning research. Learn more about their research and view transcripts at Robin.ly: http://bit.ly/2slfwyl
Vaishnavh Nagarajan is a fifth-year Ph.D. student working on theoretically understanding generalization in deep learning, in both supervised and unsupervised learning setups. Zico Kolter is an associate professor at CMU and also serves as Chief Scientist of AI Research for the Bosch Center for AI in Pittsburgh.