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Averaging Stochastic Gradient Descent on Riemannian Manifolds

Averaging Stochastic Gradient Descent on Riemannian Manifolds

26 February 2018
Nilesh Tripuraneni
Nicolas Flammarion
Francis R. Bach
Michael I. Jordan
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Papers citing "Averaging Stochastic Gradient Descent on Riemannian Manifolds"

6 / 56 papers shown
Title
Function Space Particle Optimization for Bayesian Neural Networks
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang
Tongzheng Ren
Jun Zhu
Bo Zhang
BDL
28
63
0
26 Feb 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
Hiroyuki Kasai
Pratik Jawanpuria
Bamdev Mishra
28
3
0
04 Feb 2019
Gen-Oja: A Two-time-scale approach for Streaming CCA
Gen-Oja: A Two-time-scale approach for Streaming CCA
Kush S. Bhatia
Aldo Pacchiano
Nicolas Flammarion
Peter L. Bartlett
Michael I. Jordan
16
2
0
20 Nov 2018
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with
  Curvature Independent Rate
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate
J.N. Zhang
Hongyi Zhang
S. Sra
26
39
0
10 Nov 2018
Riemannian Adaptive Optimization Methods
Riemannian Adaptive Optimization Methods
Gary Bécigneul
O. Ganea
ODL
30
250
0
01 Oct 2018
Fast, asymptotically efficient, recursive estimation in a Riemannian
  manifold
Fast, asymptotically efficient, recursive estimation in a Riemannian manifold
Jialun Zhou
Salem Said
29
7
0
17 May 2018
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