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When Will Gradient Methods Converge to Max-margin Classifier under ReLU
  Models?

When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?

12 June 2018
Tengyu Xu
Yi Zhou
Kaiyi Ji
Yingbin Liang
ArXivPDFHTML

Papers citing "When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?"

4 / 4 papers shown
Title
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks
  Trained with the Logistic Loss
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
Lénaïc Chizat
Francis R. Bach
MLT
16
327
0
11 Feb 2020
Sampling Bias in Deep Active Classification: An Empirical Study
Sampling Bias in Deep Active Classification: An Empirical Study
Ameya Prabhu
Charles Dognin
M. Singh
11
64
0
20 Sep 2019
Learning ReLU Networks on Linearly Separable Data: Algorithm,
  Optimality, and Generalization
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
G. Wang
G. Giannakis
Jie Chen
MLT
22
131
0
14 Aug 2018
Stochastic Gradient Descent on Separable Data: Exact Convergence with a
  Fixed Learning Rate
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
Mor Shpigel Nacson
Nathan Srebro
Daniel Soudry
FedML
MLT
16
97
0
05 Jun 2018
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