Maximum-Margin Matrix Factorization (2005)
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by
Nathan Srebro
,
Jason D. M. Rennie
,
Tommi S. Jaakola
| Venue: | Advances in Neural Information Processing Systems 17 |
| Citations: | 90 - 16 self |
BibTeX
@INPROCEEDINGS{Srebro05maximum-marginmatrix,
author = {Nathan Srebro and Jason D. M. Rennie and Tommi S. Jaakola},
title = {Maximum-Margin Matrix Factorization},
booktitle = {Advances in Neural Information Processing Systems 17},
year = {2005},
pages = {1329--1336},
publisher = {MIT Press}
}
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Abstract
We present a novel approach to collaborative prediction, using low-norm instead of low-rank factorizations. The approach is inspired by, and has strong connections to, large-margin linear discrimination. We show how to learn low-norm factorizations by solving a semi-definite program, and discuss generalization error bounds for them.
