Fetching the paper…
Reading the bibliography…
In recent years rank aggregation has received significant attention from the machine learning community.
Rank analysis of incomplete block designs: I. the method of paired comparisons
R. A. Bradley and M. E. Terry · 1952
Earlier work this paper cites.
Empirical analysis of predictive algorithms for collaborative filtering
J. S. Breese, D. Heckerman, and C. Kadie · 1998
Earlier work this paper cites.
Empirical Process Theory in M M -estimation
S. A. van de Geer · 2000
Earlier work this paper cites.
The Concentration of Measure Phenomenon
M. Ledoux · 2001
Earlier work this paper cites.
Latent semantic models for collaborative filtering
T. Hofmann · 2004
Earlier work this paper cites.
Individual choice behavior: A theoretical analysis
R. D. Luce · 2005
Earlier work this paper cites.
Fast maximum margin matrix factorization for collaborative prediction
J. D. Rennie and N. Srebro · 2005
Earlier work this paper cites.
Maximum margin matrix factorization for collaborative ranking
M. Weimer, A. Karatzoglou, Q. V. Le, and A. Smola · 2007
Earlier work this paper cites.
Eigenrank: a ranking-oriented approach to collaborative filtering
N. N. Liu and Q. Yang · 2008
Earlier work this paper cites.
Bayesian probabilistic matrix factorization using markov chain monte carlo
R. Salakhutdinov and A. Mnih · 2008
Earlier work this paper cites.
Exact matrix completion via convex optimization
E. J. Candès and B. Recht · 2009
Cited alongside, same era.
Probabilistic latent preference analysis for collaborative filtering
N. N. Liu, M. Zhao, and Q. Yang · 2009
Cited alongside, same era.
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
A. Agarwal, S. Negahban, and M. J. Wainwright · 2010
Cited alongside, same era.
On the consistency of ranking algorithms
J. C. Duchi, L. W. Mackey, and M. I. Jordan · 2010
Cited alongside, same era.
Matrix completion from a few entries
R. H. Keshavan, A. Montanari, and S. Oh · 2010
Cited alongside, same era.
Ranking: Compare, don’t score
A. Ammar and D. Shah · 2011
Cited alongside, same era.
Social choice and individual values
K. J. Arrow · 2012
Later among the works it cites.
M. A. Davenport, Y. Plan, E. van den Berg, and M. Wootters · 2012
Later among the works it cites.
Iterative ranking from pair-wise comparisons
S. Negahban, S. Oh, and D. Shah · 2012
Later among the works it cites.
A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers
S. Negahban, P. Ravikumar, M. J. Wainwright, and B. Yu · 2012
Later among the works it cites.
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
S. Negahban and M. J. Wainwright · 2012
Later among the works it cites.
Collaborative learning of preference rankings
T. Salimans, U. Paquet, and T. Graepel · 2012
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Active ranking using pairwise comparisons
K. G. Jamieson and R. Nowak · 2011
Cited alongside, same era.
Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
V. Koltchinskii, K. Lounici, and A. B. Tsybakov · 2011
Cited alongside, same era.
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban and M. J. Wainwright · 2011
Cited alongside, same era.
User-friendly tail bounds for matrix martingales
J. A. Tropp · 2011
Cited alongside, same era.
Essay on the application of analysis to the probability of majority decisions
M. D. Condorcet
Cited in the paper.
Later among the works it cites.
Collaborative ranking with 17 parameters
M. Volkovs and R. S. Zemel · 2012
Later among the works it cites.
Inferring users’ preferences from crowdsourced pairwise comparisons: A matrix completion approach
J. Yi, R. Jin, S. Jain, and A. Jain · 2013
Later among the works it cites.
When is it better to compare than to score?
N. B. Shah, S. Balakrishnan, J. Bradley, A. Parekh, K. Ramchandran, and M. J. Wainwright · 2014
Closest in time.