9 citations · 12 across the 4 of their papers we have counts for
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cs.LG2016
Geometry Aware Mappings for High Dimensional Sparse Factors
Avradeep Bhowmik, Nathan Liu, Erheng Zhong +2
While matrix factorisation models are ubiquitous in large scale recommendation and search, real time application of such models requires inner product computations over an intracta…
cs.LG2015★ 9 cited
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC
Sungjin Ahn, Anoop Korattikara, Nathan Liu +2
Despite having various attractive qualities such as high prediction accuracy and the ability to quantify uncertainty and avoid over-fitting, Bayesian Matrix Factorization has not b…