Tengyuan Liang Assistant Professor of Econometrics and Statistics University of Chicago, Booth School of Business
Title: On Adaptivity, Generalization, and Interpolation Motivated from Neural Networks
Abstract: In the absence of explicit regularization, neural network learning and kernel learning have the potential to fit the training data perfectly. It has been observed empirically, however, that such interpolated solutions can still generalize well on test data. We isolate a phenomenon of implicit regularization for minimum-norm...