Convergence of Gradient Descent on Separable Data

5 March 2018

Papers citing "Convergence of Gradient Descent on Separable Data"

4 / 54 papers shown

Title
On the Learning Dynamics of Deep Neural Networks Rémi Tachet des Combes Mohammad Pezeshki Samira Shabanian Aaron Courville Yoshua Bengio 21 38 0 18 Sep 2018
When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models? Tengyu Xu Yi Zhou Kaiyi Ji Yingbin Liang 31 19 0 12 Jun 2018
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate Mor Shpigel Nacson Nathan Srebro Daniel Soudry FedML MLT 32 97 0 05 Jun 2018
Minnorm training: an algorithm for training over-parameterized deep neural networks Yamini Bansal Madhu S. Advani David D. Cox Andrew M. Saxe ODL 15 18 0 03 Jun 2018