Mixture-rank matrix approximation for collaborative filtering
- Dongsheng Li
- Chao Chen
- et al.
- 2017
- NeurIPS 2017
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54 results for Stephen M. Chu
ERMMA: Expected risk minimization for matrix approximation-based recommender systems
- Dongsheng Li
- Chao Chen
- et al.
- 2017
- AAAI 2017
GLOMA: Embedding global information in local matrix approximation models for collaborative filtering
- Chao Chen
- Dongsheng Li
- et al.
- 2017
- AAAI 2017
Modeling the intensity function of point process via recurrent neural networkss
- Shuai Xiao
- Junchi Yan
- et al.
- 2017
- AAAI 2017
On predictive patent valuation: Forecasting patent citations and their types
- Xin Liu
- Junchi Yan
- et al.
- 2017
- AAAI 2017
Low-rank matrix approximation with stability
- Dongsheng Li
- Chao Chen
- et al.
- 2016
- ICML 2016
Mixture Matrix Approximation for Collaborative Filtering
- Dongsheng Li
- Chao Chen
- et al.
- 2021
- IEEE TKDE
Collaborative filtering with noisy ratings
- Dongsheng Li
- Chao Chen
- et al.
- 2019
- SDM 2019
Transferable automl by model sharing over grouped datasets
- Chao Xue
- Junchi Yan
- et al.
- 2019
- CVPR 2019
AdaError: An adaptive learning rate method for matrix approximation-based collaborative filtering
- Dongsheng Li
- Chao Chen
- et al.
- 2018
- WWW 2018