Fetching the paper…
Reading the bibliography…
We provide rigorous guarantees on learning with the weighted trace-norm under arbitrary sampling distributions.
The expected norm of random matrices
Y. Seginer · 2000
Earlier work this paper cites.
Rademacher and Gaussian complexities: Risk bounds and structural results
P. Bartlett and S. Mendelson · 2002
Earlier work this paper cites.
Maximum-margin matrix factorization
N. Srebro, J. Rennie, and T. Jaakkola · 2004
Earlier work this paper cites.
Rank, trace-norm and max-norm
N. Srebro and A. Shraibman · 2005
Earlier work this paper cites.
Available at http://www.grouplens.org/node/73
MovieLens Dataset · 2006
Earlier work this paper cites.
Probabilistic matrix factorization
R. Salakhutdinov and A. Mnih · 2007
Earlier work this paper cites.
The netflix prize
J. Bennett and S. Lanning · 2007
Earlier work this paper cites.
Consistency of trace-norm minimization
F. Bach · 2008
Cited alongside, same era.
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Yehuda Koren · 2008
Cited alongside, same era.
The power of convex relaxation: Near-optimal matrix completion
E. Candès and T. Tao · 2009
Cited alongside, same era.
A simpler approach to matrix completion
B. Recht · 2009
Cited alongside, same era.
Matrix completion from noisy entries
R. Keshavan, A. Montanari, and S. Oh · 2010
Cited alongside, same era.
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii, A. Tsybakov, and K. Lounici · 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
R. Salakhutdinov and N. Srebro · 2010
Later among the works it cites.
User-friendly tail bounds for sums of random matrices
J.A. Tropp · 2010
Later among the works it cites.
Practical Large-Scale Optimization for Max-Norm Regularization
J. Lee, B. Recht, R. Salakhutdinov, N. Srebro, and J. Tropp · 2010
Later among the works it cites.
Spectral regularization algorithms for learning large incomplete matrices
R. Mazumder, T. Hastie, and R. Tibshirani · 2010
Later among the works it cites.
Concentration-based guarantees for low-rank matrix reconstruction
R. Foygel and N. Srebro · 2011
Closest in time.
Collaborative filtering with the trace norm: Learning, bounding, and transducing
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
S. Negahban and M. Wainwright · 2010
Cited alongside, same era.
O. Shamir and S. Shalev-Shwartz · 2011
Closest in time.