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20
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Learning with Matrix Factorization
– Nathan Srebro
- 2004
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1
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Extracting Information from Informal Communication by
– Jason D. M. Rennie, Tommi Jaakkola, Jason D. M. Rennie
- 2007
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85
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Fast maximum margin matrix factorization for collaborative prediction
– Jason D. M. Rennie, Nathan Srebro
- 2005
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5
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Learning from incomplete ratings using non-negative matrix factorization
– Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon
- 2006
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13
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Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices
– Nathan Srebro, Tommi Jaakkola
- 2005
|
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1
|
Collaborative filtering with interlaced generalized linear models
– Nicolas Delannay, Michel Verleysen
- 2008
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|
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PAC-Bayesian Analysis of Co-clustering with Extensions to Matrix Tri-factorization, Graph Clustering, Pairwise Clustering, and Graphical Models
– Yevgeny Seldin, Naftali Tishby
|
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3
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PAC-Bayesian Analysis of Co-clustering and Beyond
– Naftali Tishby, S. Dhillon
|
|
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An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering
– Nicola Barbieri
|
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53
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Gaussian processes for ordinal regression
– Wei Chu, Zoubin Ghahramani
- 2004
|
|
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Computational Intelligence and Data Mining (CIDM 2007) One-shot Collaborative Filtering
– Shuhei Kuwata, Naonori Ueda
|
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28
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A new approach to collaborative filtering: Operator estimation with spectral regularization
– Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Mines Paristech, Tommi Jaakkola
|
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13
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Data Mining for Web Personalization
– Bamshad Mobasher
- 2006
|
|
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Metric Learning with . . .
– Kilian Quirin Weinberger
- 2007
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18
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Collaborative prediction using ensembles of maximum margin matrix factorizations
– Dennis Decoste
- 2006
|
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Linear Dependent Dimensionality Reduction
– Nathan Srebro Tommi, Tommi Jaakkola
- 2003
|
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43
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Generalized nonnegative matrix approximations with Bregman divergences
– Inderjit S. Dhillon, Suvrit Sra
- 2005
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iii TABLE OF CONTENTS
– Ian Porteous
- 2010
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CURRICULUM VITAE
– Ian Porteous
- 2010
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