27 citations · 110 across the 32 of their papers we have counts for
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cs.LG2014★ 15 cited
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction
Beyza Ermis, A. Taylan Cemgil
Probabilistic approaches for tensor factorization aim to extract meaningful structure from incomplete data by postulating low rank constraints. Recently, variational Bayesian (VB)…
stat.CO2014★ 2 cited
Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence
Beyza Ermis, Y. Kenan Yılmaz, A. Taylan Cemgil +1
Probabilistic Latent Tensor Factorization (PLTF) is a recently proposed probabilistic framework for modelling multi-way data. Not only the common tensor factorization models but al…