Probabilistic Matrix Factorization with Non-random Missing Data
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[1] Roderick J. A. Little,et al. Statistical Analysis with Missing Data , 1988 .
[2] David J. C. MacKay,et al. The Evidence Framework Applied to Classification Networks , 1992, Neural Computation.
[3] Michael I. Jordan,et al. A Variational Approach to Bayesian Logistic Regression Models and their Extensions , 1997, AISTATS.
[4] Brendan J. Frey,et al. Factor graphs and the sum-product algorithm , 2001, IEEE Trans. Inf. Theory.
[5] Tom Minka,et al. Expectation Propagation for approximate Bayesian inference , 2001, UAI.
[6] Wei Chu,et al. Gaussian Processes for Ordinal Regression , 2005, J. Mach. Learn. Res..
[7] H. Robbins. A Stochastic Approximation Method , 1951 .
[8] Yew Jin Lim. Variational Bayesian Approach to Movie Rating Prediction , 2007 .
[9] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[10] Richard S. Zemel,et al. Collaborative Filtering and the Missing at Random Assumption , 2007, UAI.
[11] Guy Shani,et al. A Survey of Accuracy Evaluation Metrics of Recommendation Tasks , 2009, J. Mach. Learn. Res..
[12] Thore Graepel,et al. Matchbox: large scale online bayesian recommendations , 2009, WWW '09.
[13] Lars Schmidt-Thieme,et al. BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.
[14] Richard S. Zemel,et al. Collaborative prediction and ranking with non-random missing data , 2009, RecSys '09.
[15] Harald Steck,et al. Training and testing of recommender systems on data missing not at random , 2010, KDD.
[16] Guillaume Bouchard,et al. Robust Bayesian Matrix Factorisation , 2011, AISTATS.
[17] Ole Winther,et al. A hierarchical model for ordinal matrix factorization , 2012, Stat. Comput..
[18] Chong Wang,et al. Stochastic variational inference , 2012, J. Mach. Learn. Res..
[19] Ulrich Paquet,et al. One-class collaborative filtering with random graphs , 2013, WWW '13.