Learning matrix factorization with scalable distance metric and regularizer

Author:

Wang ShipingORCID,Zhang Yunhe,Lin XincanORCID,Su Lichao,Xiao Guobao,Zhu William,Shi Yiqing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference44 articles.

1. Differentiable optimization-based modeling for machine learning;Amos,2019

2. Amos, B., & Kolter, J. Z. (2017). OptNet: Differentiable Optimization as a Layer in Neural Networks. In Proceedings of the thirty-fourth international conference on machine learning (pp. 136–145).

3. Implicit regularization in deep matrix factorization;Arora,2019

4. Bibi, A., Ghanem, B., Koltun, V., & Ranftl, R. (2019). Deep layers as stochastic solvers. In Proceedings of the international conference on learning representations (pp. 1–19).

5. Bo, D., Wang, X., Shi, C., Zhu, M., Lu, E., & Cui, P. (2020). Structural deep clustering network. In Proceedings of the World Wide Web conference (pp. 1400–1410).

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