www-ai.cs.tu-dortmund.de/PERSONAL/MORIK/papers/pdf/Learning_Low_Rank_Document_Embeddings_with_Weighted_Nuclear_Norm_Regularization.pdf
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization
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[5] S. Hess, K. Morik, and N. Piatkowski, “The PRIMPING routine—Tiling through proximal alternating [...] Schnabel, and R. Khanna, “Towards a Better Understanding of Predict and Count Models,” Arxiv, pp. 1–17, 2015. [Online]. Available: http://arxiv.org/abs/1511.02024
[13] A. Nemirovski, A. Juditsky, G. Lan, and …