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A New Approach to Collaborative Filtering: Operator Estimation with
  Spectral Regularization

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

11 February 2008
Jacob D. Abernethy
Francis R. Bach
Theodoros Evgeniou
Jean-Philippe Vert
ArXivPDFHTML

Papers citing "A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization"

6 / 6 papers shown
Title
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Jing Bi
Susan Liang
Xiaofei Zhou
Pinxin Liu
Junjia Guo
...
C. Chen
Lianggong Wen
Zhang Liu
Jiebo Luo
Chenliang Xu
LRM
26
0
0
04 Apr 2025
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase
  Procrustes Flow
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow
Xiao Zhang
S. Du
Quanquan Gu
8
24
0
03 Mar 2018
Operator-valued Kernels for Learning from Functional Response Data
Operator-valued Kernels for Learning from Functional Response Data
Hachem Kadri
E. Duflos
Philippe Preux
S. Canu
A. Rakotomamonjy
Julien Audiffren
20
124
0
28 Oct 2015
New Perspectives on k-Support and Cluster Norms
New Perspectives on k-Support and Cluster Norms
Andrew M. McDonald
Massimiliano Pontil
Dimitris Stamos
42
57
0
06 Mar 2014
Fixed-rank matrix factorizations and Riemannian low-rank optimization
Fixed-rank matrix factorizations and Riemannian low-rank optimization
Bamdev Mishra
Gilles Meyer
S. Bonnabel
R. Sepulchre
37
123
0
03 Sep 2012
When is there a representer theorem? Vector versus matrix regularizers
When is there a representer theorem? Vector versus matrix regularizers
Andreas Argyriou
C. Micchelli
Massimiliano Pontil
77
171
0
09 Sep 2008
1