ResearchTrend.AI
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms

Mathieu Blondel
Masakazu Ishihata
Akinori Fujino
N. Ueda
ArXivPDFHTML

Papers citing "Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms"

3 / 3 papers shown
Title
On the Computational Efficiency of Training Neural Networks
On the Computational Efficiency of Training Neural Networks
Roi Livni
Shai Shalev-Shwartz
Ohad Shamir
143
480
0
05 Oct 2014
Random Feature Maps for Dot Product Kernels
Random Feature Maps for Dot Product Kernels
Purushottam Kar
H. Karnick
82
256
0
31 Jan 2012
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
Jacob D. Abernethy
Francis R. Bach
Theodoros Evgeniou
Jean-Philippe Vert
238
261
0
11 Feb 2008