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Towards A Deeper Geometric, Analytic and Algorithmic Understanding of
  Margins
v1v2 (latest)

Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins

20 June 2014
Aaditya Ramdas
Javier F. Pena
ArXiv (abs)PDFHTML

Papers citing "Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins"

6 / 6 papers shown
Title
Iterative regularization in classification via hinge loss diagonal
  descent
Iterative regularization in classification via hinge loss diagonal descent
Vassilis Apidopoulos
T. Poggio
Lorenzo Rosasco
S. Villa
61
2
0
24 Dec 2022
On Accelerated Perceptrons and Beyond
On Accelerated Perceptrons and Beyond
Guanghui Wang
Rafael Hanashiro
E. Guha
Jacob D. Abernethy
68
7
0
17 Oct 2022
Fast Margin Maximization via Dual Acceleration
Fast Margin Maximization via Dual Acceleration
Ziwei Ji
Nathan Srebro
Matus Telgarsky
57
39
0
01 Jul 2021
Bias of Homotopic Gradient Descent for the Hinge Loss
Bias of Homotopic Gradient Descent for the Hinge Loss
Denali Molitor
Deanna Needell
Rachel A. Ward
34
6
0
26 Jul 2019
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks
Kaifeng Lyu
Jian Li
114
336
0
13 Jun 2019
Randomized Gradient Boosting Machine
Randomized Gradient Boosting Machine
Haihao Lu
Rahul Mazumder
AI4CE
78
34
0
24 Oct 2018
1